18 datasets found
  1. Ethereum Fraud Detection Dataset

    • kaggle.com
    zip
    Updated Jan 3, 2021
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    Vagif Aliyev (2021). Ethereum Fraud Detection Dataset [Dataset]. https://www.kaggle.com/vagifa/ethereum-frauddetection-dataset
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    zip(944991 bytes)Available download formats
    Dataset updated
    Jan 3, 2021
    Authors
    Vagif Aliyev
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    This dataset contains rows of known fraud and valid transactions made over Ethereum, a type of cryptocurrency. This dataset is imbalanced, so keep that in mind when modelling

    Content

    Here is a description of the rows of the dataset:

    • Index: the index number of a row
    • Address: the address of the ethereum account
    • FLAG: whether the transaction is fraud or not
    • Avg min between sent tnx: Average time between sent transactions for account in minutes
    • Avg_min_between_received_tnx: Average time between received transactions for account in minutes
    • Time_Diff_between_first_and_last(Mins): Time difference between the first and last transaction
    • Sent_tnx: Total number of sent normal transactions
    • Received_tnx: Total number of received normal transactions
    • Number_of_Created_Contracts: Total Number of created contract transactions
    • Unique_Received_From_Addresses: Total Unique addresses from which account received transactions
    • Unique_Sent_To_Addresses20: Total Unique addresses from which account sent transactions
    • Min_Value_Received: Minimum value in Ether ever received
    • Max_Value_Received: Maximum value in Ether ever received
    • Avg_Value_Received5Average value in Ether ever received
    • Min_Val_Sent: Minimum value of Ether ever sent
    • Max_Val_Sent: Maximum value of Ether ever sent
    • Avg_Val_Sent: Average value of Ether ever sent
    • Min_Value_Sent_To_Contract: Minimum value of Ether sent to a contract
    • Max_Value_Sent_To_Contract: Maximum value of Ether sent to a contract
    • Avg_Value_Sent_To_Contract: Average value of Ether sent to contracts
    • Total_Transactions(Including_Tnx_to_Create_Contract): Total number of transactions

    • Total_Ether_Sent:Total Ether sent for account address

    • Total_Ether_Received: Total Ether received for account address

    • Total_Ether_Sent_Contracts: Total Ether sent to Contract addresses

    • Total_Ether_Balance: Total Ether Balance following enacted transactions

    • Total_ERC20_Tnxs: Total number of ERC20 token transfer transactions

    • ERC20_Total_Ether_Received: Total ERC20 token received transactions in Ether

    • ERC20_Total_Ether_Sent: Total ERC20token sent transactions in Ether

    • ERC20_Total_Ether_Sent_Contract: Total ERC20 token transfer to other contracts in Ether

    • ERC20_Uniq_Sent_Addr: Number of ERC20 token transactions sent to Unique account addresses

    • ERC20_Uniq_Rec_Addr: Number of ERC20 token transactions received from Unique addresses

    • ERC20_Uniq_Rec_Contract_Addr: Number of ERC20token transactions received from Unique contract addresses

    • ERC20_Avg_Time_Between_Sent_Tnx: Average time between ERC20 token sent transactions in minutes

    • ERC20_Avg_Time_Between_Rec_Tnx: Average time between ERC20 token received transactions in minutes

    • ERC20_Avg_Time_Between_Contract_Tnx: Average time ERC20 token between sent token transactions

    • ERC20_Min_Val_Rec: Minimum value in Ether received from ERC20 token transactions for account

    • ERC20_Max_Val_Rec: Maximum value in Ether received from ERC20 token transactions for account

    • ERC20_Avg_Val_Rec: Average value in Ether received from ERC20 token transactions for account

    • ERC20_Min_Val_Sent: Minimum value in Ether sent from ERC20 token transactions for account

    • ERC20_Max_Val_Sent: Maximum value in Ether sent from ERC20 token transactions for account

    • ERC20_Avg_Val_Sent: Average value in Ether sent from ERC20 token transactions for account

    • ERC20_Uniq_Sent_Token_Name: Number of Unique ERC20 tokens transferred

    • ERC20_Uniq_Rec_Token_Name: Number of Unique ERC20 tokens received

    • ERC20_Most_Sent_Token_Type: Most sent token for account via ERC20 transaction

    • ERC20_Most_Rec_Token_Type: Most received token for account via ERC20 transactions

  2. D

    Data from: Detection of illicit accounts over the Ethereum blockchain

    • dataverse.nl
    csv, txt
    Updated Feb 19, 2021
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    George Azzopardi; Steven Farrugia; Joshua Ellul; Joshua Ellul; George Azzopardi; Steven Farrugia (2021). Detection of illicit accounts over the Ethereum blockchain [Dataset]. http://doi.org/10.34894/GKAQYN
    Explore at:
    csv(1016388), txt(506)Available download formats
    Dataset updated
    Feb 19, 2021
    Dataset provided by
    DataverseNL
    Authors
    George Azzopardi; Steven Farrugia; Joshua Ellul; Joshua Ellul; George Azzopardi; Steven Farrugia
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The recent technological advent of cryptocurrencies and their respective benefits have been shrouded with a number of illegal activities operating over the network such as money laundering, bribery, phishing, fraud, among others. In this work we focus on the Ethereum network, which has seen over 400 million transactions since its inception. Using 2179 accounts flagged by the Ethereum community for their illegal activity coupled with 2502 normal accounts, we seek to detect illicit accounts based on their transaction history using the XGBoost classifier. Using 10 fold cross-validation, XGBoost achieved an average accuracy of 0.963 ( ± 0.006) with an average AUC of 0.994 ( ± 0.0007). The top three features with the largest impact on the final model output were established to be ‘Time diff between first and last (Mins)’, ‘Total Ether balance’ and ‘Min value received’. Based on the results we conclude that the proposed approach is highly effective in detecting illicit accounts over the Ethereum network. Our contribution is multi-faceted; firstly, we propose an effective method to detect illicit accounts over the Ethereum network; secondly, we provide insights about the most important features; and thirdly, we publish the compiled data set as a benchmark for future related works.

  3. Ethereum Transactions for Fraud Detection

    • kaggle.com
    Updated Jun 25, 2024
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    Chaitya Shah (2024). Ethereum Transactions for Fraud Detection [Dataset]. https://www.kaggle.com/datasets/chaitya0623/ethereum-transactions-for-fraud-detection
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    Kaggle
    Authors
    Chaitya Shah
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset, "Ethereum Transactions for Fraud Detection," includes comprehensive transaction records from the Ethereum blockchain. It is designed to support research and development of fraud detection methods in cryptocurrency transactions. By analyzing this data, users can identify patterns and anomalies indicative of fraudulent activity.

  4. Ethereum Fraud Dataset

    • kaggle.com
    zip
    Updated Sep 14, 2022
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    Guille Escobero (2022). Ethereum Fraud Dataset [Dataset]. https://www.kaggle.com/datasets/gescobero/ethereum-fraud-dataset
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    zip(1733838 bytes)Available download formats
    Dataset updated
    Sep 14, 2022
    Authors
    Guille Escobero
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Guille Escobero

    Released under CC0: Public Domain

    Contents

  5. Ethereum Fraud Transactions

    • kaggle.com
    zip
    Updated Dec 4, 2023
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    vasavi chithanuru (2023). Ethereum Fraud Transactions [Dataset]. https://www.kaggle.com/datasets/vasavichithanuru/ethereum-fraud-transactions
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    zip(418081 bytes)Available download formats
    Dataset updated
    Dec 4, 2023
    Authors
    vasavi chithanuru
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by vasavi chithanuru

    Released under MIT

    Contents

  6. f

    The comparison between (smart contract)-based delegate contract signing and...

    • figshare.com
    xls
    Updated Jun 6, 2023
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    Wei Xiong; Yangcheng Hu (2023). The comparison between (smart contract)-based delegate contract signing and traditional delegate contract signing. [Dataset]. http://doi.org/10.1371/journal.pone.0273424.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wei Xiong; Yangcheng Hu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The comparison between (smart contract)-based delegate contract signing and traditional delegate contract signing.

  7. v

    Smart Contracts Market By Blockchain Platform (Bitcoin, Ethereum, NXT,...

    • verifiedmarketresearch.com
    Updated Jun 20, 2024
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    VERIFIED MARKET RESEARCH (2024). Smart Contracts Market By Blockchain Platform (Bitcoin, Ethereum, NXT, Sidechains), Technology (Ethereum, Namecoin, Ripple, Rootstock (RSK)), End-User (Automobile, Government, Supply Chain Management), & Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/smart-contracts-market/
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Smart Contracts Market size was valued at USD 46.84 Million in 2024 and is projected to reach USD 260.69 Million by 2031, growing at a CAGR of 26.40% during the forecast period 2024-2031.

    Global Smart Contracts Market Drivers

    1. A Rise in Blockchain Technology Adoption
    Blockchain technology is becoming more and more popular in a variety of industries because to its efficiency, security, and transparency. Smart contracts play a key role in this. One of the main factors driving the market’s expansion is the emergence of blockchain platforms like Ethereum, which make smart contract execution easier.

    2. Growing Need for Automation
    To cut expenses and boost productivity, organizations are trying to automate and simplify procedures. By doing away with the need for middlemen, smart contracts automate and expedite transactions while cutting costs and minimizing errors.

    3. Strengthened Security and Decreased Fraud
    Compared to regular contracts, smart contracts offer increased security through cryptographic techniques, making them less vulnerable to fraud and manipulation. Industries that handle sensitive data and transactions find this security feature to be quite enticing.

    4. Increasing Adoption in the Financial Sector
    Smart contracts are being used more and more in the financial services industry, which includes asset management, insurance, and banking, for tasks including trade financing, processing claims, and automated payments. The market is being driven greatly by the widespread adoption of this industry.

    5. Support from the Government and Regulations
    Certain governmental and regulatory entities are acknowledging the possibilities of blockchain technology and smart contracts, offering assistance through advantageous policies and experimental initiatives. The expansion of smart contract adoption and implementation is encouraged by this regulatory backing.

    6. IoT Device Proliferation
    Automation and confidence in machine-to-machine interactions are improved by the integration of smart contracts with Internet of Things devices. Supply chain management, logistics, and other industries needing automated actions and real-time data verification may find this combination especially helpful.

    7. LegalTech Innovation and Development
    Smart contracts are being used by the legal sector to produce tamper-proof legal agreements and expedite legal procedures, as part of its innovative LegalTech offerings. As legal departments and corporations adopt new technologies, the market for smart contracts is being driven by this transition.

    8. Growing Use Cases in Different Industries
    Smart contracts are being used in a wide range of industries, including supply chain, real estate, healthcare, and entertainment. This broad range of use cases promotes growth and increases market potential.

    9. Enhanced Transparency and Data Management
    Data management and traceability are enhanced by smart contracts, which offer transparent and unchangeable records. This is especially helpful for industries that depend heavily on data quality and openness, such as public administration, healthcare, and supply chains.

  8. D

    Smart Contracts Market Report | Global Forecast From 2023 To 2032

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 8, 2023
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    Dataintelo (2023). Smart Contracts Market Report | Global Forecast From 2023 To 2032 [Dataset]. https://dataintelo.com/report/smart-contracts-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 8, 2023
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    The Global Smart Contracts Market Size is projected to grow from USD XX billion in 2021 to USD XX billion by 2028, at an estimated CAGR of 34.8% during the forecast period (2021-2028). The market is driven by factors such as the increasing need for automation, integration with various technologies and systems, and high scalability potential among others.

    Smart contracts are self-executing digital agreements that can carry out the direct transaction of assets between untrusted agents. Smart Contracts allow for formal verification, which helps to ensure there is no misbehavior and protects you from fraud. Blockchain technology enables a secure way to create these contracts without any third-party interference directly between peers.

    On the basis of Type, the market is segmented into Bitcoin, Sidechains, NXT, and Ethereum.


    Bitcoin:

    Bitcoin is a decentralized peer-to-peer Digital Currency that enables instant payments to anyone, anywhere in the world. Bitcoin uses blockchain technology to record its transactions. Blockchain is a public ledger of all Bitcoin transactions.


    Sidechains:

    Sidechains are decentralized, peer-to-peer networks that provide connectivity between different blockchains.


    NXT:

    NXT is an open-source Cryptocurrency and payment network that uses proof of stake to reach a consensus for transactions. NXT was conceived by BCNext, whose goal was to create a platform on which decentralized applications could be built in the future.


    Ethereum:

    Ethereum is a decentralized platform that runs "smart contracts" or self-executing transactions, which do not rely on any central server for processing. These smart contracts run on the Ethereum Virtual Machine (EVM) and can be written in Solidity language, Serpent language, and LLL programming languages.

    On the basis of Application, the market is segmented into Banking, Government, Management, Supply Chain, Automobile, Real Estate, Insurance, and Healthcare.


    Banking:

    The use of smart contracts in banking can dramatically reduce the time and cost associated with financial transactions. The implementation of Smart Contracts by banks allows for improved processes such as reconciliation, settlement, identity management, regulatory compliance, and trading surveillance.


    Government:

    Smart Contracts can be used in Government to make the process more transparent and efficient.


    Management:

    In management, smart contracts are used to ensure the security and integrity of critical business processes. It is a digital alternative to traditional contract law. With this technology, contractual agreements can be executed automatically without human intervention while ensuring transparency for all concerned parties.


    Supply Chain:

    The use of Smart Contracts in the Supply Chain is to track and monitor requirements, inventory levels, production schedules, shipments, and more. This will also help with fulfillment management as a whole for both suppliers and customers involved in the process.


    Automobile:

    Smart contracts in the automotive industry are generally utilized to facilitate payments between two parties. Smart contracts also provide a safe and secure method for making payments without any additional transaction fees or intermediary involvement by banks, government authorities, etc., which can be both time-consuming and costly.


    Real Estate:

    The use of Smart Contracts in Real Estate is for creating a record of the terms and conditions that are to be followed while executing real estate transactions. They ensure security, accuracy, transparency, and speed with their recording procedure which includes Digital Signatures from all concerned parties at every stage.


    Insurance:

    The use of smart contracts in Insurance can provide a higher level of automation by facilitating policy underwriting, claims processing, and payments. This will reduce delays between all parties involved.


    Healthcare:

    In healthcare, smart contacts for payment and adherence to treatment protocols can potentially reduce costs. It is a secure method of transmitting patient data allowing doctors immediate access to their records while minimizing risks associated with storing information in multiple locations.

    On the basis of Region, the market is segmented into North Amer

  9. South East Asia Cryptocurrency Market Report by Component (Hardware,...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Apr 4, 2024
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    IMARC Group (2024). South East Asia Cryptocurrency Market Report by Component (Hardware, Software), Type (Bitcoin, Ethereum, Bitcoin Cash, Ripple, Litecoin, Dashcoin, and Others), Process (Mining, Transaction), Application (Trading, Remittance, Payment, and Others), and Country 2024-2032 [Dataset]. https://www.imarcgroup.com/south-east-asia-cryptocurrency-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 4, 2024
    Dataset provided by
    IMARC Services Private Limited
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    South East Asia, Asia, Global
    Description

    Market Overview:

    South East Asia cryptocurrency market size is projected to exhibit a growth rate (CAGR) of 8.95% during 2024-2032. The inflating need for alternative form of currency and investment, along with the growing popularity of digital assets, is primarily driving the market growth across the country.

    Report Attribute
    Key Statistics
    Base Year
    2023
    Forecast Years
    2024-2032
    Historical Years
    2018-2023
    Market Growth Rate (2024-2032)8.95%


    Cryptocurrency is a form of digital or virtual currency that utilizes cryptography to ensure security. In contrast to conventional currencies issued by governments and central banks, it operates on decentralized networks using blockchain technology. The key features of cryptocurrency include enhanced security and dependability in transactions, guaranteeing transparency and mitigating the risk of double spending. Notably, it facilitates quicker and more cost-effective cross-border transactions, minimizing the need for intermediaries. The adoption of cryptocurrency is driven by its ability to offer financial services to populations without access to traditional banking systems. It addresses the needs of the unbanked, providing them with financial inclusion opportunities.

    South East Asia Cryptocurrency Market Trends:

    The South East Asia cryptocurrency market is emerging as a dynamic and transformative sector, reflecting the region's receptiveness to innovative financial technologies. Comprising countries such as Singapore, Malaysia, Thailand, Indonesia, Vietnam, and the Philippines, South East Asia has witnessed a notable surge in cryptocurrency adoption and blockchain technology. Additionally, governments and regulatory bodies in South East Asia have taken diverse approaches, with some embracing and regulating the industry, while others remain cautious. Besides this, the South East Asia cryptocurrency market is characterized by a growing awareness of the advantages offered by digital currencies. Moreover, the blockchain technology that underpins these currencies ensures immutability, reducing the risk of fraud and enhancing overall security, thereby acting as another significant growth-inducing factor. One significant impact of cryptocurrency in South East Asia is its potential to facilitate cross-border transactions. With a diverse population and a robust regional economy, the need for efficient and cost-effective remittance solutions has fueled the adoption of cryptocurrencies. This is particularly beneficial in a region where a substantial portion of the population remains unbanked or underbanked. Furthermore, collaborations between industry players, regulators, and financial institutions will play a crucial role in shaping its trajectory and ensuring a secure and sustainable ecosystem for digital currencies in the region. This, in turn, is expected to fuel the South East Asia cryptocurrency market in the coming years.

    South East Asia Cryptocurrency Market Segmentation:

    IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the regional and country levels for 2024-2032. Our report has categorized the market based on component, type, process, and application.

    Component Insights:

    • Hardware
    • Software

    The report has provided a detailed breakup and analysis of the market based on the component. This includes hardware and software.

    Type Insights:

    • Bitcoin
    • Ethereum
    • Bitcoin Cash
    • Ripple
    • Litecoin
    • Dashcoin
    • Others

    A detailed breakup and analysis of the market based on the type have also been provided in the report. This includes bitcoin, ethereum, bitcoin cash, ripple, litecoin, dashcoin, and others.

    Process Insights:

    • Mining
    • Transaction

    The report has provided a detailed breakup and analysis of the market based on the process. This includes mining and transaction.

    Application Insights:

    • Trading
    • Remittance
    • Payment
    • Others

    A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes trading, remittance, payment, and others.

    Country Insights:

    • Indonesia
    • Thailand
    • Singapore
    • Philippines
    • Vietnam
    • Malaysia
    • Others

    The report has also provided a comprehensive analysis of all the major regional markets, which include Indonesia, Thailand, Singapore, Philippines, Vietnam, Malaysia, and Others.

    Competitive Landscape:

    The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

    South East Asia Cryptocurrency Market Report Coverage:

    Report FeaturesDetails
    Base Year of the Analysis2023
    Historical Period2018-2023
    Forecast Period2024-2032
    UnitsUS$ Million
    Scope of the ReportExploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
    • Component
    • Type
    • Process
    • Application
    • Country
    Components CoveredHardware, Software
    Types CoveredBitcoin, Ethereum, Bitcoin Cash, Ripple, Litecoin, Dashcoin, Others
    Processes CoveredMining, Transaction
    Applications CoveredTrading, Remittance, Payment, Others
    Countries CoveredIndonesia, Thailand, Singapore, Philippines, Vietnam, Malaysia, Others
    Customization Scope10% Free Customization
    Report Price and Purchase OptionSingle User License: US$ 3699
    Five User License: US$ 4699
    Corporate License: US$ 5699
    Post-Sale Analyst Support10-12 Weeks
    Delivery FormatPDF and Excel through Email (We can also provide the editable version of the

  10. Dataset-Fraud-ETH-Cleaned

    • kaggle.com
    zip
    Updated Apr 19, 2021
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    Pablo Garcia Carreira (2021). Dataset-Fraud-ETH-Cleaned [Dataset]. https://www.kaggle.com/sibeliuspgc/datasetfraudethcleaned
    Explore at:
    zip(595325 bytes)Available download formats
    Dataset updated
    Apr 19, 2021
    Authors
    Pablo Garcia Carreira
    Description

    Dataset

    This dataset was created by Pablo Garcia Carreira

    Contents

  11. Global Blockchain Software Market Size By Product Type (Blockchain Platforms...

    • verifiedmarketresearch.com
    Updated May 16, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Blockchain Software Market Size By Product Type (Blockchain Platforms Software, Cryptocurrency Software), By Application (Exchanges, Payments, Smart Contracts), By End-User (Transportation And Logistics, Retail And E-commerce), By Offering (Public, Private), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/blockchain-software-market/
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Blockchain Software Market size was valued at USD 6.9 Billion in 2023 and is projected to reach USD 63 Billion by 2031, growing at a CAGR of 58% from 2024 to 2031.

    Blockchain Software Market Dynamics

    The key market dynamics that are shaping the global Blockchain Software Market include:

    Key Market Drivers:

    Enhanced Transparency and Security: By supplying a decentralised ledger that logs transactions over a network of computers, blockchain software increases transparency and security. Participants across a range of businesses have more trust as a result of this openness, which lowers the chance of fraud.

    Efficiency and Cost Savings: Peer-to-peer transactions without the need for middlemen are made possible by blockchain software, which speeds up transaction settlement and reduces transaction costs. This efficiency may lower operating costs and streamline procedures in sectors including supply chain management, healthcare, and finance.

    Growing Adoption of Cryptocurrencies: The need for blockchain software solutions that facilitate cryptocurrency transactions and digital asset management has been fuelled by the growing popularity of cryptocurrencies like Bitcoin and Ethereum. Because of this development, blockchain technology now has applications outside of finance.

    Key Challenges:

    Scalability Problems: Due to restrictions on consensus procedures and transaction throughput, blockchain networks frequently experience scalability problems. These problems are most evident in public blockchains. Blockchain software may not be widely used in sectors like banking and e-commerce that demand high transaction volumes and low latency due to scalability concerns.

    Regulatory Uncertainties: Blockchain software providers and consumers face difficulties due to the regulatory uncertainties around blockchain technology and cryptocurrencies. Businesses may be discouraged from using blockchain technologies if there are unclear rules and inadequate compliance frameworks, especially in regulated industries where adherence to current laws and regulations is crucial.

    Key Opportunities:

    Supply Chain Management: The transparency, traceability, and immutability of transactions provided by blockchain technology present substantial prospects for enhancing supply chain management. Throughout the supply chain, items may be tracked and authenticated using blockchain software, which lowers the risk of counterfeiting, maintains quality control, and streamlines logistical procedures.

    Financial Services: By allowing safe and transparent transactions, cutting transaction costs, and eliminating fraud, blockchain software offers prospects for innovation in the financial services sector. Applications that have the potential to upend established banking and financial institutions include remittances, smart contracts, cross-border payments, and decentralised finance (DeFi) platforms.

  12. m

    Smart Contracts Market Size, Share | CAGR of 25.8%

    • market.us
    csv, pdf
    Updated Jan 3, 2024
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    Market.us (2024). Smart Contracts Market Size, Share | CAGR of 25.8% [Dataset]. https://market.us/report/smart-contracts-market/
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset provided by
    Market.us
    License

    https://market.us/privacy-policy/https://market.us/privacy-policy/

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Report Overview

    The Global Smart contracts Market size is poised for significant growth, reaching USD 1.9 Billion in 2024. The sales are expected to witness a robust CAGR of 25.8% from 2024 to 2033. By 2033, the smart contracts demand is anticipated to reach a valuation of USD 14.9 Billion.

    Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code. The code and the agreements contained therein exist across a distributed, decentralized blockchain network.

    Smart contracts allow trusted transactions and agreements to be carried out among disparate, anonymous parties without the need for a central authority, legal system, or external enforcement mechanism. They render transactions traceable, transparent, and irreversible. For instance, a report by Deloitte highlighted that blockchain technology, which underpins smart contracts, could potentially save the healthcare industry up to $100-$150 billion per year by 2025 through reduced fraud, counterfeit products, and administrative costs.

    https://market.us/wp-content/uploads/2024/01/Smart-Contracts-Market-1024x620.jpg" alt="Smart Contracts Market" width="1024" height="620">

    Note: Actual Numbers Might Vary In The Final Report

    The global smart contracts market is expected to grow rapidly over the coming years as blockchain technology sees increasing real-world adoption. Key drivers of the smart contract market include the need for automation of manual processes, cost reduction, improved transactional security, and transparency. Major end-user industries for smart contracts include BFSI, government, healthcare, supply chain, manufacturing, and real estate.

    Smart contracts often involve gathering and using personal information. This information might be protected by laws like the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the United States. Smart contract developers need to make sure their contracts follow these rules and have the right protection for data.

  13. India Blockchain Gaming Market Report by Game Type (Role Playing Games, Open...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Apr 14, 2024
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    IMARC Group (2024). India Blockchain Gaming Market Report by Game Type (Role Playing Games, Open World Games, Collectible Games), Platform (ETH, BNB Chain, Polygon), and Region 2024-2032 [Dataset]. https://www.imarcgroup.com/india-blockchain-gaming-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 14, 2024
    Dataset provided by
    IMARC Services Private Limited
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    World, India, Global
    Description

    Market Overview:

    India blockchain gaming market size is projected to exhibit a growth rate (CAGR) of 52.30% during 2024-2032. The inflating need for security and transparency, which directly address concerns prevalent in traditional gaming, is primarily driving the market growth.

    Report Attribute
    Key Statistics
    Base Year
    2023
    Forecast Years
    2024-2032
    Historical Years
    2018-2023
    Market Growth Rate (2024-2032)52.30%


    Blockchain gaming operates on a decentralized ledger, ensuring transparency, security, and the permanence of in-game transactions and assets. In contrast to traditional gaming structures where authority and ownership are centralized, it grants players authentic ownership of in-game items and assets, providing them the unprecedented ability to buy, sell, and trade with greater autonomy. This approach effectively addresses issues related to cheating and fraud, as the decentralized nature of blockchain prevents unauthorized alterations. The merits of blockchain gaming extend to heightened security, the verifiable scarcity of virtual items, and the potential for play-to-earn models, enabling players to generate tangible value through their in-game activities. The three primary categories of blockchain gaming include collectible games, play-to-earn games, and interoperable games.

    India Blockchain Gaming Market Trends:

    The India blockchain gaming market has emerged as a dynamic and innovative sector, reflecting the country's growing interest in both gaming and blockchain technology. Additionally, unlike traditional gaming models where central entities hold control and ownership, blockchain gaming empowers players with true ownership of in-game items, enabling them to buy, sell, and trade autonomously. Besides this, the decentralized nature of blockchain gaming is a significant boon, effectively mitigating issues related to cheating and fraud that can plague traditional gaming setups. It is accomplished by preventing unauthorized modifications due to the immutable nature of blockchain technology. Moreover, the advantages of blockchain gaming in India encompass heightened security, verifiable scarcity of virtual items, and the innovative potential for play-to-earn models. In play-to-earn setups, players have the opportunity to generate real-world value through their in-game efforts, creating a novel gaming experience, thereby acting as another significant growth-inducing factor. Apart from this, as the gaming and blockchain landscapes continue to evolve, the India blockchain gaming market is poised for further growth, presenting exciting possibilities for both developers and players in this dynamic intersection of technology and entertainment.

    India Blockchain Gaming Market Segmentation:

    IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on game type and platform.

    Game Type Insights:

    • Role Playing Games
    • Open World Games
    • Collectible Games

    The report has provided a detailed breakup and analysis of the market based on the game type. This includes role playing games, open world games, and collectible games.

    Platform Insights:

    • ETH
    • BNB Chain
    • Polygon

    A detailed breakup and analysis of the market based on the platform have also been provided in the report. This includes ETH, BNB chain, and polygon.

    Regional Insights:

    • North India
    • West and Central India
    • South India
    • East and Northeast India

    The report has also provided a comprehensive analysis of all the major regional markets, which include North India, West and Central India, South India, and East and Northeast India.

    Competitive Landscape:

    The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

    India Blockchain Gaming Market Report Coverage:

    Report FeaturesDetails
    Base Year of the Analysis2023
    Historical Period2018-2023
    Forecast Period2024-2032
    UnitsUS$ Million
    Scope of the ReportExploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
    • Game Type
    • Platform
    • Region
    Game Types CoveredRole Playing Games, Open World Games, Collectible Games
    Platforms CoveredETH, BNB Chain, Polygon
    Regions CoveredNorth India, West and Central India, South India, East and Northeast India
    Customization Scope10% Free Customization
    Report Price and Purchase OptionSingle User License: US$ 2699
    Five User License: US$ 3699
    Corporate License: US$ 4699
    Post-Sale Analyst Support10-12 Weeks
    Delivery FormatPDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

    Key Questions Answered in This Report:

    • How has the India blockchain gaming market performed so far and how will it perform in the coming years?
    • What has been the impact of COVID-19 on the India blockchain gaming market?
    • What is the breakup of the India blockchain gaming market on the basis of game type?
    • What is the breakup of the India blockchain gaming market on the basis of platform?
    • What are the various stages in the value chain of the India blockchain gaming market?
    • What are the key driving factors and challenges in the India blockchain gaming?
    • What is the structure of the India blockchain gaming market and who are the key players?
    • What is the degree of competition in the India blockchain gaming market?

    Key Benefits for Stakeholders:

    • IMARC’s industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the India blockchain gaming market from 2018-2032.
    • The research report provides the latest information on the market drivers, challenges, and opportunities in the India blockchain gaming market.
    • Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier

  14. Worldwide blockchain market value share 2020, by sector

    • statista.com
    Updated May 21, 2024
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    Statista (2024). Worldwide blockchain market value share 2020, by sector [Dataset]. https://www.statista.com/statistics/804775/worldwide-market-share-of-blockchain-by-sector/
    Explore at:
    Dataset updated
    May 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020
    Area covered
    Worldwide
    Description

    In 2020, the distribution of the global blockchain market revenue was heavily distributed towards the banking industry, which has a market share of almost 30 percent. While process manufacturing accounted for 11.4 percent of worldwide blockchain spending. Overall, the global spending on blockchain solutions is continued to grow in the upcoming years.

    Blockchain technology
    Simply put, blockchain is a distributed ledger technology, which creates assurance between trading partners, especially in trades that occur with cryptocurrency. For example, in the case of Bitcoin and Ethereum, blockchain is the technology that allows for the transfer of these cryptocurrencies, providing confidence in financial transactions. This additional confidence through the usage of blockchain comes from the reduced fraud, increased financial inclusion, and decreased costs. This leads to the simplification of cross-border payments and settlements, which has the potential to change the global banking industry as we know it.

    Blockchain and Bitcoin Blockchain and Bitcoin have a symbiotic relationship as blockchain technology was created to be a database structured into “blocks” of data that is linked, or in other words, “chained”, to other sets of data. The blockchain technology stores the Bitcoin transactions in a continuous linked structure, that continues to increase with time and each transaction. Hence, with the increased popularity of Bitcoin comes the increased importance of the growing Bitcoin blockchain, which is visible in the increased number of blockchain wallet users worldwide in the past few years alone.

  15. D

    Blockchain Supplychain Market Report | Global Forecast From 2023 To 2032

    • dataintelo.com
    csv, pdf, pptx
    Updated Apr 15, 2023
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    Dataintelo (2023). Blockchain Supplychain Market Report | Global Forecast From 2023 To 2032 [Dataset]. https://dataintelo.com/report/global-blockchain-supplychain-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Apr 15, 2023
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    The Global Blockchain Supplychain Market size is expected to grow from USD 6.21 Billion in 2021 to USD XX Billion by 2028, at a CAGR of 28.7% during the forecast period. The growth of this market can be attributed to the increasing demand for distributed ledger technology across industries, rising fraudulent activities across supply chains, and the growing need for transparency and immutability in supply chains.

    The blockchain supply chain is the application of blockchain technology in the field of supply chain management. The blockchain supply chain provides a secure and transparent way to track and manage goods throughout the entire supply-chain process. It can be used to record any type of information related to the supply-chain process, such as shipment tracking, product history, quality control, and more. The blockchain-based supply chain offers transparency, security, and efficiency to businesses.

    On the basis of Type, the market is segmented into Public Blockchain, Private Blockchain, and Consortium Blockchain. The Public Blockchain segment is expected to hold the largest market share during the forecast period.


    Public Blockchain:

    A public blockchain is a distributed ledger technology that enables anyone to read or write to the ledger. Transactions on a public blockchain are transparent and can be verified by anyone. Public blockchains are typically permissionless, meaning anyone can participate in the network without having to ask for permission. Bitcoin and Ethereum are two examples of public blockchains. Public blockchains have several advantages over private blockchains. First, they are more secure because they have more nodes (computers) verifying transactions. Second, they are more decentralized, meaning there is no one party controlling the network. This makes them less vulnerable to censorship or attacks.


    Private Blockchain:

    A private blockchain is a permissioned network where only authorized nodes can participate in the network. These nodes are typically known to each other and trust is established among them. The transactions on a private blockchain are verified by a set of trusted nodes instead of using a Proof-of-Work (PoW) algorithm. Private blockchains are ideal for businesses that want to keep their data private and secure.


    Consortium Blockchain:

    A consortium blockchain is a blockchain where the nodes or participants are restricted to a certain group. Consortium blockchains are somewhere in between, with some restrictions on who can join, but not as tight as private blockchains. The consortium members could be companies, organizations, or individuals that have come together for a specific task or business goal.

    On the basis of Application, the market is segmented into Retail, Oil & Gas, Healthcare, IT & Telecom, and Others. The Retail segment is expected to hold the largest market share during the forecast period.


    Retail:

    Blockchain technology is being used in the retail sector for a number of reasons. These include tracking the movement of products, preventing counterfeiting, and improving customer experiences. In particular, retailers are interested in the use of blockchain to create transparent and secure supply chains. This allows customers to trust that they are getting what they paid for and that the products they purchase have not been tampered with. Additionally, by reducing waste and improving inventory management, blockchain can help retailers save money. Some companies are already implementing these applications and seeing positive results.


    Oil & Gas:

    Oil and gas are one of the most important industrial sectors in the world. Blockchain technology has a lot to offer in this sector as well. Some of the possible uses of blockchain supply chain in oil and gas are Tracking and tracing of oil products throughout the supply chain; Preventing fraud by tracking product origins; Improved security due to immutable ledger; Reduced administrative costs; Real-time monitoring of supplier performance; Enhanced communication between producers and consumers.


    Healthcare:

    The healthcare sector is one of the most important sectors that is looking to adopt blockchain technology. The reason for this is that the healthcare sector is rife with inefficiencies and problems that can be solved with blockchain technology. Some of the areas where blockchain supply chain can be used in the healthcare sector include Tracking Drugs: One of the biggest problems in the pharmaceutical industry is counterfeit drugs. The blockchain supply chain can help track drugs from manufact

  16. D

    Mortgage Lender Market Size , Share Research Report |2032

    • dataintelo.com
    csv, pdf, pptx
    Updated Mar 7, 2024
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    Dataintelo (2024). Mortgage Lender Market Size , Share Research Report |2032 [Dataset]. https://dataintelo.com/report/mortgage-lender-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mortgage Lender Market Outlook 2032



    The global Mortgage Lender Market size was USD 1,024.6 Billion in 2023 and is projected to reach USD 3,077.9 Billion by 2032, expanding at a CAGR of 13% during 2024–2032. The market is fueled by the increasing demand for housing due to population growth and the advancement of digital mortgage platforms enhancing loan processing efficiency.



    Rising demand for efficiency and speed in mortgage processing propels the adoption of digital and automated solutions in the market. Financial technology firms have revolutionized loan processing with AI-driven algorithms, reducing approval times from weeks to mere days.



    Blockchain technology enhances transparency and security, mitigating fraud risks. Moreover, the integration of big data analytics enables lenders to offer personalized mortgage solutions, improving customer satisfaction and loyalty.





    • In February 2023, Roofstock, a premier digital platform for single-family rental properties, completed the sale of an Alabama rental through its web3 arm, Roofstock onChain, utilizing non-fungible token (NFT) technology on the Ethereum Blockchain. This transaction showcases the application of Teller Protocol's flexible DeFi lending solutions in real estate, facilitated by USDC.Homes, a marketplace powered by Teller Protocol for streamlined real estate financing.





    Increasing awareness of environmental issues drives the market toward sustainable and green financing. Lenders are introducing eco-friendly mortgage products that offer lower interest rates for energy-efficient homes, encouraging sustainable development.



    Government incentives for green buildings further fuel this trend, making eco-conscious mortgages attractive to borrowers. This shift addresses climate change and opens new market segments for lenders focusing on sustainability.



    <span style="font-size:11pt&qu

  17. Ethereum Historical Data

    • kaggle.com
    Updated Oct 6, 2018
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    LiamLarsen (2018). Ethereum Historical Data [Dataset]. https://www.kaggle.com/kingburrito666/ethereum-historical-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 6, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    LiamLarsen
    Description

    Context

    The Ethereum blockchain gives a revolutionary way of decentralized applications and provides its own cryptocurrency. Ethereum is a decentralized platform that runs smart contracts: applications that run exactly as programmed without any possibility of downtime, censorship, fraud or third party interference. These apps run on a custom built blockchain, an enormously powerful shared global infrastructure that can move value around and represent the ownership of property. This enables developers to create markets, store registries of debts or promises, move funds in accordance with instructions given long in the past (like a will or a futures contract) and many other things that have not been invented yet, all without a middle man or counterparty risk.

    Content

    What you may see in the CSVs are just numbers, but there is more to this. Numbers make machine learning easy. I've labeled each column, the first in all of them is the day; it may look weird but it makes sense if you look closely.

    Note:

    TIMESTAMP FORMAT

    How to convert timestamp in python:

    import datetime as dt
    # The (would-be) timestamp value is below
    timestamp = 1339521878.04 
    # Technechly you would iterate through and change them all if you were graphing
    timeValue = dt.datetime.fromtimestamp(timestamp)
    #Year, month, day, hour, minute, second
    print(timeValue.strftime('%Y-%m-%d %H:%M:%S'))
    

    Acknowledgements

    MR. Vitalik Buterin. co-founder of Ethereum and as a co-founder of Bitcoin Magazine.

    Hit a brother up

    0x767e8b211f70c5b8b4caa38c2efe05bf8eac0da7

    Will be updating every month with new Ethereum history!

  18. Litecoin LTC/USD price history up until Jul 14, 2024

    • statista.com
    Updated Jul 15, 2024
    + more versions
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    Statista (2024). Litecoin LTC/USD price history up until Jul 14, 2024 [Dataset]. https://www.statista.com/statistics/807160/litecoin-price-monthly/
    Explore at:
    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 19, 2021 - Jul 14, 2024
    Area covered
    Worldwide
    Description

    The Litecoin cryptocurrency peaked in both 2017 and 2020 - reaching prices worth around 250 dollars - but did not reach this by 2022. As of July 14, 2024, one Litcoin token was worth 69.97 U.S. dollars. Litecoin's price was relatively volatile in recent years, revealing high price swings between months.What is a cryptocurrency?Cryptocurrencies are digital currencies that do not have a centralized regulating authority. The first of these, Bitcoin, introduced a technology called blockchain, in which a distributed ledger records every transaction on every bitcoin in circulation to prevent fraud. Litecoin also uses this technology. To accommodate the demands of constant ledger updates, users sell computational power in exchange for an amount of Litecoin, a process known as mining.More about LitecoinCryptocurrencies are still emerging technology, and few are using them for transactions. As such, most users are speculators who look at the value of all coins in circulation as the market capitalization rather than money supply. Still, the average number of Litecoin transactions ranges in the tens of thousands, meaning that the cryptocurrency has a substantial financial footprint.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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George Azzopardi; Steven Farrugia; Joshua Ellul; Joshua Ellul; George Azzopardi; Steven Farrugia (2021). Detection of illicit accounts over the Ethereum blockchain [Dataset]. http://doi.org/10.34894/GKAQYN

Data from: Detection of illicit accounts over the Ethereum blockchain

Related Article
Explore at:
csv(1016388), txt(506)Available download formats
Dataset updated
Feb 19, 2021
Dataset provided by
DataverseNL
Authors
George Azzopardi; Steven Farrugia; Joshua Ellul; Joshua Ellul; George Azzopardi; Steven Farrugia
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

The recent technological advent of cryptocurrencies and their respective benefits have been shrouded with a number of illegal activities operating over the network such as money laundering, bribery, phishing, fraud, among others. In this work we focus on the Ethereum network, which has seen over 400 million transactions since its inception. Using 2179 accounts flagged by the Ethereum community for their illegal activity coupled with 2502 normal accounts, we seek to detect illicit accounts based on their transaction history using the XGBoost classifier. Using 10 fold cross-validation, XGBoost achieved an average accuracy of 0.963 ( ± 0.006) with an average AUC of 0.994 ( ± 0.0007). The top three features with the largest impact on the final model output were established to be ‘Time diff between first and last (Mins)’, ‘Total Ether balance’ and ‘Min value received’. Based on the results we conclude that the proposed approach is highly effective in detecting illicit accounts over the Ethereum network. Our contribution is multi-faceted; firstly, we propose an effective method to detect illicit accounts over the Ethereum network; secondly, we provide insights about the most important features; and thirdly, we publish the compiled data set as a benchmark for future related works.

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