View Data Breach Notification Reports, which include how many breaches are reported each year and the number of affected residents.

Publicly reported U.S. data compromises tracked by the Identity Theft Resource Center since 2005.

The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

The list contains every wordlist, dictionary, and password database leak that I could find on the internet (and I spent a LOT of time looking). It also contains every word in the Wikipedia databases (pages-articles, retrieved 2010, all languages) as well as lots of books from Project Gutenberg. It also includes the passwords from some low-profile database breaches that were being sold in the underground years ago. The format of the list is a standard text file sorted in non-case-sensitive alphabetical order. Lines are separated with a newline " " character. You can test the list without downloading it by giving SHA256 hashes to the free hash cracker or to @PlzCrack on twitter. Here s a tool for computing hashes easily. Here are the results of cracking LinkedIn s and eHarmony s password hash leaks with the list. The list is responsible for cracking about 30% of all hashes given to CrackStation s free hash cracker, but that figure should be taken with a grain of salt because s

This is a dataset containing all the major data breaches in the world from 2004 to 2021

As we know, there is a big issue related to the privacy of our data. Many major companies in the world still to this day face this issue every single day. Even with a great team of people working on their security, many still suffer. In order to tackle this situation, it is only right that we must study this issue in great depth and therefore I pulled this data from Wikipedia to conduct data analysis. I would encourage others to take a look at this as well and find as many insights as possible.

This data contains 5 columns: 1. Entity: The name of the company, organization or institute 2. Year: In what year did the data breach took place 3. Records: How many records were compromised (can include information like email, passwords etc.) 4. Organization type: Which sector does the organization belong to 5. Method: Was it hacked? Were the files lost? Was it an inside job?

Here is the source for the dataset: https://en.wikipedia.org/wiki/List_of_data_breaches

Here is the GitHub link for a guide on how it was scraped: https://github.com/hishaamarmghan/Data-Breaches-Scraping-Cleaning

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

Encrypted Database Query Platforms Market Outlook

According to our latest research, the Global Encrypted Database Query Platforms market size was valued at $1.8 billion in 2024 and is projected to reach $6.7 billion by 2033, expanding at a robust CAGR of 15.7% during the forecast period of 2025–2033. The primary driver behind this impressive growth trajectory is the escalating need for robust data privacy and security solutions across highly regulated industries such as BFSI, healthcare, and government sectors. With the proliferation of data breaches and increasingly stringent data protection regulations worldwide, organizations are rapidly adopting encrypted database query platforms to ensure secure data processing, storage, and retrieval. This market is also benefiting from the accelerated digital transformation and cloud migration trends, which are compelling companies to seek advanced encryption solutions that can seamlessly integrate with modern IT architectures while providing uncompromised performance and compliance assurance.

Regional Outlook

North America currently dominates the global encrypted database query platforms market, accounting for over 38% of the total market share in 2024. This leadership is largely attributed to the region’s mature technology ecosystem, early adoption of advanced cybersecurity solutions, and the presence of leading market players. The United States, in particular, is a hotbed for innovation, with significant investments in R&D and a high concentration of enterprises operating in highly regulated sectors such as finance, healthcare, and government. Moreover, stringent regulatory frameworks such as HIPAA, CCPA, and the New York SHIELD Act have heightened the urgency for organizations to implement robust data encryption and privacy-preserving technologies, further fueling demand. The region’s strong focus on compliance and risk mitigation, combined with a culture of proactive cybersecurity investment, continues to underpin its market dominance.

The Asia Pacific region is the fastest-growing market for encrypted database query platforms, projected to register an impressive CAGR of 19.3% from 2025 to 2033. This rapid growth is driven by the exponential increase in digital transformation initiatives, burgeoning cloud adoption, and the rising number of cyber threats targeting organizations in countries like China, India, Japan, and South Korea. Governments across the region are enacting stringent data protection regulations, such as India’s Digital Personal Data Protection Act and China’s Cybersecurity Law, compelling enterprises to adopt advanced encryption technologies. Moreover, the influx of foreign direct investments, the proliferation of fintech and healthtech startups, and the growing awareness of cybersecurity risks are driving substantial investments in secure database platforms. The region’s favorable economic outlook, coupled with a massive and increasingly digital-savvy population, is expected to sustain high growth rates throughout the forecast period.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing encrypted database query platforms, albeit at a slower pace compared to developed regions. Adoption in these regions is often hindered by budgetary constraints, limited technical expertise, and fragmented regulatory landscapes. However, increasing incidences of data breaches, rising cross-border digital commerce, and the growing presence of multinational corporations are catalyzing demand for secure data management solutions. Local governments are beginning to implement data protection policies and incentives to encourage digital security investments, but challenges related to infrastructure readiness, awareness, and skilled workforce availability persist. Despite these hurdles, the long-term outlook remains positive as organizations in these regions recognize the strategic importance of data security in enabling digital transformation and global competitiveness.

Report Scope

Encrypted Database Query Platforms Market Outlook

According to our latest research, the encrypted database query platforms market size reached USD 2.84 billion in 2024 globally, with a robust compounded annual growth rate (CAGR) of 21.7% anticipated through the forecast period. By 2033, the market is projected to attain a value of USD 21.75 billion, driven by increasing data security regulations, growing incidences of cyber threats, and the rapid digital transformation across industries. The demand for secure, privacy-preserving data management solutions is catalyzing the adoption of encrypted database query platforms worldwide, as organizations seek to protect sensitive information while enabling seamless data access and analytics.

The growth trajectory of the encrypted database query platforms market is fundamentally propelled by the escalating volume of sensitive data being generated and processed across sectors such as banking, healthcare, government, and retail. With high-profile data breaches and sophisticated cyberattacks becoming increasingly common, enterprises are prioritizing data privacy and compliance with regulations such as GDPR, HIPAA, and CCPA. These regulatory frameworks mandate stringent protection of personally identifiable information (PII), making encrypted database query platforms essential for organizations aiming to reduce risk and maintain trust. Additionally, the proliferation of cloud computing and hybrid IT environments has introduced new vulnerabilities, further amplifying the need for end-to-end encrypted data management solutions that can operate seamlessly in diverse deployment scenarios.

Another significant growth driver is the technological evolution within the encrypted database query platforms market itself. Innovations such as homomorphic encryption, secure multi-party computation (SMPC), and advanced cryptographic techniques are enabling organizations to perform complex queries on encrypted data without compromising confidentiality. This capability is particularly valuable in industries dealing with highly sensitive information, where data must remain protected throughout its lifecycle, including during processing and analytics. As these technologies mature and become more accessible, they are reducing the performance overhead traditionally associated with encrypted queries, making secure data processing both practical and scalable for a broader range of enterprises.

Furthermore, the increasing adoption of cloud-based services and the emergence of multi-cloud strategies are reshaping the encrypted database query platforms market landscape. Enterprises are seeking solutions that provide consistent security controls and policy enforcement across heterogeneous environments, from on-premises data centers to public and private clouds. Encrypted query platforms that offer cloud-native capabilities, seamless integration with existing security frameworks, and support for regulatory compliance are witnessing heightened demand. The convergence of data privacy, cloud adoption, and digital transformation is creating fertile ground for vendors to innovate and differentiate their offerings, fueling market expansion as enterprises modernize their data infrastructure.

From a regional perspective, North America continues to dominate the encrypted database query platforms market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced IT infrastructure, stringent data protection laws, and high concentration of technology-driven enterprises. Europe follows closely, buoyed by strong regulatory mandates and increasing investments in cybersecurity. Meanwhile, the Asia Pacific region is poised for the fastest growth, driven by rapid digitalization, expanding e-commerce, and the growing awareness of data privacy risks among enterprises and governments. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by rising cybersecurity spending and evolving regulatory landscapes.

Component Analysis</h2&g

Objective: The rapid adoption of health information technology (IT) coupled with growing reports of ransomware, and hacking has made cybersecurity a priority in health care. This study leverages federal data in order to better understand current cybersecurity threats in the context of health IT.

Materials and Methods: Retrospective observational study of all available reported data breaches in the United States from 2013 to 2017, downloaded from a publicly available federal regulatory database.

Results: There were 1512 data breaches affecting 154 415 257 patient records from a heterogeneous distribution of covered entities (P < .001). There were 128 electronic medical record-related breaches of 4 867 920 patient records, while 363 hacking incidents affected 130 702 378 records.

Discussion and Conclusion: Despite making up less than 25% of all breaches, hacking was responsible for nearly 85% of all affected patient records. As medicine becomes increasingly interconnected and ...

Security director email list is a list of email contacts. These emails belong to security directors. In fact, a security director keeps a company safe. They protect people, buildings, data, and systems. This package helps you reach them fast. You can share your product, service, or offer. It is great for marketing and sales. You talk directly to the decision-maker. The Package includes names, emails, job titles, and company names. Some also have phone numbers and locations. You can pick by industry, country, or company size. Security directors buy tools, software, and safety services. They look for smart and strong solutions. If your offer is good, they may reply. Keep your email short and clear. Do not send spam. Always add an unsubscribe link.

Security director email list saves you time. You don’t need to search one by one. One good list gives you many contacts. You can send one message to many people. Buy your dataset from a trusted seller. Make sure it is clean and updated. Old or wrong emails are a waste. A good list gives better results. You can also build your own list. Use LinkedIn, websites, or events. But it takes time and effort. Buying a list is fast and easy. In short, a Security Director email list helps you grow. You reach the right people. You can promote your business to top safety leaders. This is a smart way to connect and sell. Security director email database is the most powerful tool for doing marketing worldwide. It helps to grow your business within a couple of months. Also, it supports the publicity of your company. However, our database is 95% accurate and valid. It can be a potential for digital marketing campaigns. In fact, we assure you that our List to Data website maintains the proper GDPR guidelines. The fact is that we provide you with these at more reasonable prices than others. That is a great opportunity to send promotional information to the targeted audience.

The RbSQLi dataset has been developed to support advanced research and development in the detection of SQL injection (SQLi) vulnerabilities. It contains a total of 10,190,450 structured entries, out of which 2,699,570 are labeled as malicious and 7,490,880 as benign. The malicious entries are categorized into six distinct types of SQL injection attacks: Union-based (398,070 samples), Stackqueries-based (223,800 samples), Time-based (564,900 samples), Meta-based (481,280 samples), Boolean-based (207,900 samples), and Error-based (823,620 samples).

The malicious payloads for Union-based, Time-based, and Error-based injection types were sourced directly from the widely used and reputable open-source GitHub repository "Payloads All The Things – SQL Injection Payload List" (https://github.com/payloadbox/sql-injection-payload-list). Moreover, ChatGPT was employed to generate additional payloads for Boolean-based, Stack queries-based, and Meta-based injection categories. This hybrid approach ensures that the dataset reflects both known attack patterns and intelligently simulated variants, contributing to a broader representation of SQLi techniques. Again, some queries in the SQLi dataset are syntactically invalid yet contain malicious payloads, enabling models to detect SQL injection attempts even when attackers submit improperly formed or malformed queries. This highlights the importance of training models to recognize semantic intent rather than relying solely on syntactic correctness.

All payloads were carefully curated, anonymized, and structured during preprocessing. Sensitive data was replaced with secure placeholders, preserving semantic meaning while protecting data integrity and privacy. The dataset also underwent a thorough sanitization process to ensure consistency and usability. To support scalability and reproducibility, a rule-based classification algorithm was used to automate the labeling and organization of each payload by type. This methodology promotes standardization and ensures that the dataset is ready for use in machine learning pipelines, anomaly detection models, and intrusion detection systems. In addition to being comprehensive, the dataset provides a substantial volume of clean (benign) data, making it well-suited for supervised learning, comparative experiments, and robustness testing in cybersecurity research.

This dataset is intended to facilitate progress in the development of more accurate and generalizable SQL injection detection systems and to serve as a reliable benchmark for the broader security and machine learning communities.

The Bureau of Justice Statistics (BJS) Compendium of State Privacy and Security Legislation database consists of state laws, executive orders, and administrative regulations relating to the privacy and security of criminal history record information (CHRI). The Compendium database documents how the states and territories regulate the disclosure and security of CHRI. SEARCH (the National Consortium for Justice Information and Statistics) completed the previous version of the Compendium database for BJS in 2002. During 2014 and 2015, the Federal Research Division (FRD) of the Library of Congress updated the Compendium database for BJS.

SCTS supports the adjudication process of private background investigations and clearances for potential employees, contractors, interns and student workers.

This dataset has been developed to support advanced research and development in the detection of SQL injection (SQLi) vulnerabilities. It contains a total of 10,304,026 structured entries, out of which 2,813,146 are labeled as malicious and 7,490,880 as benign. The malicious entries are categorized into six distinct types of SQL injection attacks: Union-based (758,600 samples), Stackqueries-based (746,480 samples), Time-based (531,580 samples), Meta-based (481,280 samples), Boolean-based (226,080 samples), and Error-based (69,126 samples).

The malicious payloads for Union-based, Time-based, and Error-based injection types were sourced directly from the widely used and reputable open-source GitHub repository "Payloads All The Things – SQL Injection Payload List" (https://github.com/payloadbox/sql-injection-payload-list). Moreover, ChatGPT was employed to generate additional payloads for Boolean-based, Stack queries-based, and Meta-based injection categories. This hybrid approach ensures that the dataset reflects both known attack patterns and intelligently simulated variants, contributing to a broader representation of SQLi techniques.

All payloads were carefully curated, anonymized, and structured during preprocessing. Sensitive data was replaced with secure placeholders, preserving semantic meaning while protecting data integrity and privacy. The dataset also underwent a thorough sanitization process to ensure consistency and usability. To support scalability and reproducibility, a rule-based classification algorithm was used to automate the labeling and organization of each payload by type. This methodology promotes standardization and ensures that the dataset is ready for use in machine learning pipelines, anomaly detection models, and intrusion detection systems. In addition to being comprehensive, the dataset provides a substantial volume of clean (benign) data, making it well-suited for supervised learning, comparative experiments, and robustness testing in cybersecurity research.

This dataset is intended to facilitate progress in the development of more accurate and generalizable SQL injection detection systems and to serve as a reliable benchmark for the broader security and machine learning communities.

SQL Query Audit Tools Market Outlook

According to our latest research, the SQL Query Audit Tools market size reached USD 1.26 billion in 2024, reflecting robust adoption across multiple industries. The market is projected to expand at a CAGR of 13.2% from 2025 to 2033, culminating in a forecasted market value of USD 3.69 billion by 2033. This substantial growth trajectory is primarily driven by the escalating demand for robust database security and compliance solutions in an era marked by increasingly stringent data privacy regulations and an upsurge in cyber threats targeting sensitive business information.

One of the most significant growth factors for the SQL Query Audit Tools market is the rising complexity and volume of enterprise data. Organizations across sectors are generating and handling massive amounts of structured and unstructured data, necessitating advanced auditing mechanisms to ensure data integrity, compliance, and security. The proliferation of digital transformation initiatives, cloud migration, and the adoption of big data analytics have further underscored the need for sophisticated tools capable of auditing SQL queries in real-time. These tools not only help organizations identify suspicious activities and unauthorized access but also play a pivotal role in maintaining regulatory compliance, especially in highly regulated industries such as banking, financial services, and healthcare.

The growing regulatory landscape is another key driver propelling the SQL Query Audit Tools market. Governments and regulatory bodies worldwide have introduced stringent data protection laws such as GDPR, HIPAA, and CCPA, compelling organizations to implement comprehensive audit trails for all database activities. SQL query audit tools offer granular visibility into database transactions, enabling companies to demonstrate compliance and avoid hefty fines associated with non-compliance. Furthermore, as cyberattacks become more sophisticated, organizations are increasingly recognizing the value of proactive monitoring and auditing solutions that can detect anomalies, prevent data breaches, and support forensic investigations in the event of security incidents.

Technological advancements and the integration of artificial intelligence and machine learning into SQL query audit tools are also fueling market expansion. Modern solutions are leveraging AI-driven analytics to automate anomaly detection, streamline compliance reporting, and enhance the accuracy of security alerts. Additionally, the shift towards cloud-based deployments is making these tools more accessible to small and medium enterprises (SMEs), which historically faced barriers due to high upfront costs and resource constraints. The combination of technological innovation, regulatory pressure, and the increasing importance of data governance is expected to sustain the strong growth momentum of the SQL Query Audit Tools market in the coming years.

Regionally, North America currently dominates the SQL Query Audit Tools market, accounting for the largest share in 2024, followed by Europe and the Asia Pacific. The United States, in particular, is witnessing significant adoption driven by the presence of large enterprises, advanced IT infrastructure, and a highly regulated business environment. Europe is also experiencing robust growth, fueled by stringent data protection regulations and increasing investments in cybersecurity solutions. Meanwhile, the Asia Pacific region is poised for the fastest growth over the forecast period, supported by rapid digitalization, expanding IT and telecommunications sectors, and rising awareness about data security among enterprises in emerging economies such as China and India.

Component Analysis

The Component segment of the SQL Query Audit Tools market is bifurcated into software and services, each playing a critical role in the overall ecosystem. Software solutions form the backbone of the market, encompassing standalone audit tools, integrated database management platforms, and advanced analytics engines. These software offerings are designed to monitor, log, and analyze SQL queries in real-time, providing detailed audit trails and actionable insights for security, compliance, and performance optimization. The demand for feature-rich, scalable, and user-friendly software is on the rise as organizations seek to automate audit processes and minimize manual intervention.

Between 2004 and October 2024, the United States recorded the highest number of data points leaked online. Overall, more than 17 billion data points were leaked in the country during the measured period. Russia ranked second, with more than four billion leaked data points.

IntroductionThe current global food system places a high burden on biodiversity, while food production depends on ecosystem services. This study demonstrated the recent progress in research on the link between food security and biodiversity conservation through a systematic review. based on the Web of Science database. A search for the keywords “food security, biodiversity, conservation” yields a mere 1,968 results, accounting for a negligible 0.76% of the results for “biodiversity.” This suggests that academic interest in the relationship between food security and biodiversity conservation remains minimal.MethodsFirst, a literature search was conducted using the keywords “food security, biodiversity, conservation.” The keyword search was performed using the Web of Science database, covering the 10-year period from 2015 to 2024. Next, the 115 papers identified through the review were subjected to cluster analysis using the statistical software R, classifying them according to the themes and methodologies addressed in each paper.ResultsThe first keyword search yields a mere 1,968 results, accounting for a negligible 0.76% of the results for “biodiversity.” This suggests that academic interest in the relationship between food security and biodiversity conservation remains minimal. The results of the cluster analysis classified the 115 papers into five clusters.DiscussionThe findings of this study provide insights into the sustainable transformation of food systems. The recent progress in research on the link between food security and biodiversity conservation demonstrates the advancing integration of biophysical-technical and socio-political approaches. It suggests that we may be getting closer to finding win–win solutions and overcoming the trade-off between biodiversity and food production. On the other hand, despite the growing body of literature directly addressing the nexus between biodiversity and food security, the overall volume of such publications remains limited. Key challenges persist, including the underdevelopment of research on political and economic dimensions, as well as a dearth of studies encompassing the entire food supply chain. The disparities in the number of studies and topics identified in this research serve as indicators of areas where further research is needed. In particular, the promotion of research in the political and economic domains is imperative for the development of a sustainable food system that integrates biodiversity conservation and food security.

SQL Query Audit Tools Market Outlook

According to our latest research, the global SQL Query Audit Tools market size reached USD 1.42 billion in 2024, driven by the surging demand for robust database security and regulatory compliance across industries. The market is projected to grow at a CAGR of 13.8% from 2025 to 2033, reaching an estimated USD 4.13 billion by 2033. This remarkable growth is primarily fueled by the increasing sophistication of cyber threats, the proliferation of data privacy regulations, and the rapid digital transformation initiatives adopted by enterprises worldwide.

One of the most significant growth factors for the SQL Query Audit Tools market is the mounting pressure on organizations to ensure data security and compliance with stringent regulatory frameworks such as GDPR, HIPAA, SOX, and PCI DSS. As data breaches and insider threats become more prevalent, businesses are investing heavily in advanced SQL audit solutions to monitor, detect, and respond to suspicious database activities in real time. These tools provide comprehensive visibility into SQL queries, user access patterns, and configuration changes, thereby enabling organizations to proactively mitigate risks and avoid costly penalties. Furthermore, the increasing adoption of cloud-based databases and hybrid IT environments has created new vulnerabilities, intensifying the need for robust SQL query auditing capabilities across diverse deployment models.

Another key driver propelling the market is the growing emphasis on performance optimization and operational efficiency within database management. Organizations are increasingly leveraging SQL query audit tools not only for security but also for performance monitoring, anomaly detection, and resource utilization analysis. By continuously auditing and analyzing SQL queries, businesses can identify bottlenecks, optimize query execution, and ensure high availability of mission-critical applications. The integration of artificial intelligence and machine learning into these tools further enhances their ability to detect complex threats, automate compliance reporting, and provide actionable insights for database administrators. This convergence of security, compliance, and performance monitoring functionalities is expected to accelerate the adoption of SQL query audit tools across various industry verticals.

The proliferation of digital transformation initiatives across sectors such as BFSI, healthcare, retail, and government is also contributing to the robust growth of the SQL Query Audit Tools market. As organizations migrate to cloud-based infrastructures and embrace data-driven decision-making, the volume, velocity, and variety of data being stored and processed in SQL databases are increasing exponentially. This surge in data complexity necessitates advanced auditing solutions capable of scaling with enterprise needs while maintaining stringent security and compliance standards. Additionally, the rise of remote work and distributed teams has expanded the attack surface, further emphasizing the importance of comprehensive SQL query auditing to safeguard sensitive information and maintain operational resilience.

From a regional perspective, North America currently dominates the SQL Query Audit Tools market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The strong presence of major technology vendors, early adoption of advanced cybersecurity solutions, and a highly regulated business environment have positioned North America at the forefront of market growth. Meanwhile, Asia Pacific is anticipated to witness the highest CAGR over the forecast period, driven by rapid digitalization, expanding IT infrastructure, and increasing awareness of data privacy issues among enterprises in emerging economies. The Middle East & Africa and Latin America are also expected to experience steady growth as organizations in these regions prioritize database security and compliance in response to evolving cyber threats and regulatory mandates.

Component Analysis</h2&g

The dataset is based on the metadata available from the Web of science citation index database. The dataset is download using the topic search from the Web of Science core collection indexing databases on October 13, 2024 using the following IoT related keywords:

privacy, breach, security, regulat*, complian*, GDPR, *cyber*law*, *cyber*act*, CCPA, CDPA, CPA, CTDPA, SB*327, HB*2395, PL*116*207, smart, IoT, Internet of Things.

The Web of Science search query based on the above keywords is shown below:

TS=("*privacy*" OR "*breach*" OR "*security*") AND TS=("regulat*") AND TS=("complian*" OR "GDPR" OR "*cyber*law*" OR "*cyber*act*" OR "CCPA" OR "CDPA" OR "CPA" OR "CTDPA" OR "SB*327" OR "HB*2395" OR "PL*116*207") AND TS=("smart" OR "IoT" OR "Internet of Things")