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Review Article
AI Driven Data Breach Detection
Mohak Dwarkadhish Sharma1
MS in Data Science, Analytics and Engineering, Arizona State University, United States.
Published Online: March-April 2025
Pages: 68-73
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250602007
References
1. Camacho, N. G. (2024). The Role of AI in Cybersecurity: Addressing Threats in the Digital Age. Journal of Artificial Intelligence General
Science (JAIGS), 3(1), 143-154.
2. Cheng, L., Liu, F., & Yao, D. (2017). Enterprise data breach: causes, challenges, prevention, and future directions. Wiley
Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7(5), e1211.
3. Guembe, B., Azeta, A., Misra, S., Osamor, V. C., Fernandez-Sanz, L., & Pospelova, V. (2022). The emerging threat of AI-driven cyber
attacks: A review. Applied Artificial Intelligence, 36(1), 2037254.
4. Holtfreter, R. E., & Harrington, A. (2015). Data breach trends in the United States. Journal of Financial Crime, 22(2), 242-260.
5. Ibrahim, A. (2019). The Cyber Frontier: AI and ML in Next-Gen Threat Detection.
6. Liu, L., Han, M., Wang, Y., & Zhou, Y. (2018). Understanding data breach: A visualization aspect. In Wireless Algorithms, Systems, and
Applications: 13th International Conference, WASA 2018 (pp. 883-892). Springer.
7. Meduri, K., Gonaygunt, H., & Nadella, G. S. (2024). Evaluating the Effectiveness of AI-Driven Frameworks in Predicting and Preventing
Cyber Attacks. International Journal of Research Publication and Reviews, 5(3), 6591-6595.
8. Mirza, D., & Bradley, A. (2022). A Data-Driven Framework for Strengthening Healthcare Security Practices Using AI.
9. Morgan, M. D., Chowdhury, M. M., & Latif, S. (2021). Protecting business from data breach. In 2021 International Conference on
Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-5). IEEE.
10. Prince, N. U., Faheem, M. A., Khan, O. U., Hossain, K., Alkhayyat, A., Hamdache, A., & Elmouki, I. (2024). AI-Powered Data-Driven
Cybersecurity Techniques: Boosting Threat Identification and Reaction. Nanotechnology Perceptions, 332-353.
11. Rajaram, S. K. (2022). AI-Driven Threat Detection: Leveraging Big Data For Advanced Cybersecurity Compliance. Educational
Administration: Theory and Practice, 28(4), 285-296.
12. Umar, H., & Marchant, R. (2023). Effective Response to Data Breaches: AI-Assisted Solutions for Modern Enterprises.
13. Zhang, X., Yadollahi, M. M., Dadkhah, S., Isah, H., Le, D. P., & Ghorbani, A. A. (2022). Data breach: analysis, countermeasures, and
challenges. International Journal of Information and Computer Security, 19(3-4), 402-442.
Science (JAIGS), 3(1), 143-154.
2. Cheng, L., Liu, F., & Yao, D. (2017). Enterprise data breach: causes, challenges, prevention, and future directions. Wiley
Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7(5), e1211.
3. Guembe, B., Azeta, A., Misra, S., Osamor, V. C., Fernandez-Sanz, L., & Pospelova, V. (2022). The emerging threat of AI-driven cyber
attacks: A review. Applied Artificial Intelligence, 36(1), 2037254.
4. Holtfreter, R. E., & Harrington, A. (2015). Data breach trends in the United States. Journal of Financial Crime, 22(2), 242-260.
5. Ibrahim, A. (2019). The Cyber Frontier: AI and ML in Next-Gen Threat Detection.
6. Liu, L., Han, M., Wang, Y., & Zhou, Y. (2018). Understanding data breach: A visualization aspect. In Wireless Algorithms, Systems, and
Applications: 13th International Conference, WASA 2018 (pp. 883-892). Springer.
7. Meduri, K., Gonaygunt, H., & Nadella, G. S. (2024). Evaluating the Effectiveness of AI-Driven Frameworks in Predicting and Preventing
Cyber Attacks. International Journal of Research Publication and Reviews, 5(3), 6591-6595.
8. Mirza, D., & Bradley, A. (2022). A Data-Driven Framework for Strengthening Healthcare Security Practices Using AI.
9. Morgan, M. D., Chowdhury, M. M., & Latif, S. (2021). Protecting business from data breach. In 2021 International Conference on
Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-5). IEEE.
10. Prince, N. U., Faheem, M. A., Khan, O. U., Hossain, K., Alkhayyat, A., Hamdache, A., & Elmouki, I. (2024). AI-Powered Data-Driven
Cybersecurity Techniques: Boosting Threat Identification and Reaction. Nanotechnology Perceptions, 332-353.
11. Rajaram, S. K. (2022). AI-Driven Threat Detection: Leveraging Big Data For Advanced Cybersecurity Compliance. Educational
Administration: Theory and Practice, 28(4), 285-296.
12. Umar, H., & Marchant, R. (2023). Effective Response to Data Breaches: AI-Assisted Solutions for Modern Enterprises.
13. Zhang, X., Yadollahi, M. M., Dadkhah, S., Isah, H., Le, D. P., & Ghorbani, A. A. (2022). Data breach: analysis, countermeasures, and
challenges. International Journal of Information and Computer Security, 19(3-4), 402-442.
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