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## Overview
DOS is a dataset for object detection tasks - it contains Stvari annotations for 1,085 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
a Denial-of-Service (DoS) or Distributed Denial-of-Service (DDoS) attack can severely damage the performance and functionality of network slices. Furthermore
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The dataset contains network events generated by benign nodes and malicious nodes with a focus on HTTP DoS attacks:The malicious nodes generate the following attacks:Slow ReadSlow PostSlow GetHULKGoldeneyefor more information contactandy.reed@open.ac.uk
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etc.
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Increased attention is being given to the security of Internet of Things (IoT) networks due to the growing number of attempts to exploit their vulnerabilities. As malicious actors increasingly target IoT devices as gateways to larger networks, security measures to protect availability, confidentiality, and information integrity have become more robust. Additionally, the shift towards microservices-based platforms for deploying applications in smart cities has introduced new security challenges due to their distributed nature.
We present a dataset focused on IoT management platform security to address these challenges. This dataset includes features extracted using the OpenArgus tool (https://openargus.org/), designed for comprehensive feature extraction in complex network environments. The extracted features enable researchers to develop and test security techniques to enhance the protection of IoT networks.
Currently, we have added the CSV files with the features extracted using Argus; however, we expect to upload the raw pcaps soon.
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The global DDoS and DoS attack solution market is projected to reach $5,069 million by 2033, exhibiting a CAGR of 8.0% during the forecast period (2025-2033). The increasing adoption of cloud computing and the proliferation of IoT devices are key drivers of market growth. Cloud computing offers various benefits, such as scalability, flexibility, and cost-effectiveness, which has led to its widespread adoption. However, cloud computing also increases the risk of DDoS attacks, as attackers can exploit vulnerabilities in cloud platforms and applications. IoT devices are becoming increasingly interconnected, creating a larger attack surface for DDoS attackers. North America is expected to hold the largest market share during the forecast period. The region is home to a large number of technology companies and has a well-developed infrastructure, making it a prime target for DDoS attacks. The Asia Pacific region is expected to witness the fastest growth during the forecast period. The region is experiencing rapid economic growth and is home to a growing number of internet users. This has led to an increase in the demand for DDoS and DoS attack solutions in the region. Key players in the market include F5 Networks, Arbor Networks, Radware, Akamai Technologies, Neustar, Imperva, Cloudflare, Century Link, Nsfocus, A10 Networks, Nexusguard, Verisign, StackPath, SiteLock, Fortinet, and Corero Network Security.
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## Overview
Sebentar Yah Pak Dos is a dataset for object detection tasks - it contains Q2 annotations for 1,537 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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License information was derived automatically
The Internet of Things and Operational Technology technologies allow the Internet to be connected to a wide range of devices. The use of the Internet not only enables the management of these connected devices and the transmission of information through various devices but also exposes them to security threats. These threats include, but are not limited to, Denial of Service (DoS) attacks. Some attacks target specific types of devices, services, or web server versions. In this paper, we have enumerated and compared the most well-known (D)DoS attacks. Our paper provides a wide area of (D)DoS attacks sorted by ISO/OSI layers. Each listed attack is described, detection and mitigation techniques are presented, and a simulation tool capable of generating attacks is also presented. In total, we have focused on 46 attacks. In addition, a simulation of selected DoS, DDoS, and slow DoS attacks is carried out in an experimental setup workstation, and the impacts are compared.
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Get key insights from Market Research Intellect's Dos Ddos Attack Solution Market Report, valued at USD 2.5 billion in 2024, and forecast to grow to USD 7.1 billion by 2033, with a CAGR of 15.4% (2026-2033).
In 2020, 3,781 denial-of-service (DoS) attacks were reported by telecommunication operators in Finland. The majority of DoS attacks (2,165) were under one Gbps, followed by 1,446 DoS attacks with one to 10 Gbps network bandwidth. The largest DoS attack in 2020 was measured at 161 Gbps.
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Global Dos DDos Attack Solution market size 2025 is $3712 Million whereas according out published study it will reach to $10382.5 Million by 2033. Dos DDos Attack Solution market will be growing at a CAGR of 13.72% during 2025 to 2033.
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The DDoS (Distributed Denial of Service) attack solution market has seen substantial growth, with a market size valued at approximately USD 3.5 billion in 2023 and is projected to reach over USD 6.8 billion by 2032, driven by a compound annual growth rate (CAGR) of 7.8%. The growing frequency and sophistication of cyber-attacks are propelling this market, as businesses and organizations increasingly seek robust solutions to protect their digital infrastructure. The heightened reliance on digital platforms across various industries and the surge in online activities are major factors contributing to this growth. Additionally, the expansion of Internet of Things (IoT) devices, which often serve as gateways for DDoS attacks, is further necessitating advanced security measures, thereby fueling demand for DDoS protection solutions.
The increasing adoption of cloud-based services across industries is another significant growth factor for the DDoS attack solution market. As businesses migrate their operations to the cloud, the potential attack surface expands, making them more susceptible to DDoS attacks. Cloud service providers and businesses alike are investing substantially in cybersecurity measures to safeguard cloud-based systems and ensure uninterrupted service delivery. Furthermore, the rapid digital transformation driven by advancements in technology and the global shift towards remote work arrangements have made robust cybersecurity measures imperative. This shift has heightened the awareness and urgency among businesses to adopt DDoS protection solutions, further bolstering market growth.
Moreover, regulatory frameworks and compliance requirements across different regions are compelling organizations to prioritize their cybersecurity strategies, including DDoS protection. Industries such as BFSI, healthcare, and government are under stringent regulations to protect sensitive data and maintain service continuity. This regulatory landscape is compelling organizations to invest in comprehensive DDoS solutions to ensure compliance and safeguard their reputation. Additionally, the rising cost associated with data breaches and downtime due to DDoS attacks is driving organizations to adopt preventive measures, thereby creating a conducive environment for the growth of the DDoS attack solution market.
From a regional outlook, North America currently dominates the DDoS attack solution market, attributed to the presence of advanced digital infrastructure and a high concentration of tech-savvy businesses. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digitalization of economies, coupled with increasing internet penetration and smart device usage, is driving the demand for DDoS solutions in this region. Factors such as increased government initiatives towards digital infrastructure development and heightened cybersecurity threats also contribute to the market's expansion in Asia Pacific.
The DDoS attack solution market is segmented into hardware solutions, software solutions, and services. Hardware solutions form a crucial part of the DDoS protection framework, offering dedicated appliances that can be deployed on-site to mitigate attacks. These hardware solutions are especially favored by large enterprises with substantial IT infrastructure as they provide high-performance protection and can be customized to meet specific organizational needs. The reliability and efficiency of hardware solutions in detecting and mitigating volumetric and application-layer attacks contribute significantly to their continued demand in the market.
Software solutions have gained prominence due to their flexibility and scalability, making them an attractive choice for organizations of all sizes. These solutions can be integrated with existing IT systems and provide real-time threat intelligence, ensuring continuous monitoring and protection against DDoS attacks. The shift towards software solutions is also driven by the need for cost-effective security measures that can be easily updated to counter evolving threats. Software-based DDoS solutions are seeing increased adoption in sectors where rapid deployment and cost efficiency are critical, such as small and medium enterprises (SMEs).
In the face of escalating cyber threats, DDoS Protection and Mitigation have become essential components of a comprehensive cybersecurity stra
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## Overview
LAB5 Termal.dos is a dataset for object detection tasks - it contains Objekti annotations for 570 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This dataset provides information on Singapore's Direct Investment Abroad (DIA) and Direct Equity Investment Abroad from 1994 to 2023, as compiled by the Singapore Department of Statistics. It includes data on direct investment, direct equity investment, and net inter-company lending in millions of dollars. It covers the trends in Singapore's international capital movements over the years, detailing investment stocks as of year-end.
The majority of denial-of-service (DoS) attacks detected and reported in Finland lasted less than 15 minutes. In 2020, there were over three thousand DoS attacks that lasted up to 15 minutes, increasing significantly from the previous year. At the same time, the number of DoS attacks that lasted 61 to 120 minutes or over two hours grew as well.
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These are all the data used in training and testing the effectiveness of the proposed method-HSS, including data used on NS2 and testbed.
The volume of denial-of-service (DoS) attacks detected and reported in Finland increased in recent years, reaching nearly four thousand in 2020. Between 2017 and 2020, the majority of DoS attacks were under one Gbps, followed by attacks with one to 10 Gbps. However, larger DoS attacks measured from 10 to 100 Gbps increased from below 100 to nearly 200 attacks during the period displayed.
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[dataset] Barcode dataset used in arXiv:2409.01496
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This dataset tracks annual distribution of students across grade levels in Dos Caminos Dual Immersion
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This dataset tracks annual distribution of students across grade levels in Dos Palos High School
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## Overview
DOS is a dataset for object detection tasks - it contains Stvari annotations for 1,085 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).