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Volume : X, Issue : XI, December - 2020 AI-BASED ANOMALY DETECTION FOR ENHANCED CYBERSECURITY Dr. Sayyad Razak Nizam, None By : Laxmi Book Publication Abstract : The rapid growth of digital technologies, cloud computing, Internet of Things (IoT) devices, and online services has significantly increased the complexity of cybersecurity threats. Keywords : Article : Cite This Article : Dr. Sayyad Razak Nizam, None(2020). AI-BASED ANOMALY DETECTION FOR ENHANCED CYBERSECURITY. Indian Streams Research Journal, Vol. X, Issue. XI, http://isrj.org/UploadedData/11990.pdf References : - A Systematic Literature Study of Machine Learning Techniques Based Intrusion Detection: Datasets, Models, Challenges, and Future Directions. Journal of Big Data, 2025. Available at:
- https://link.springer.com/article/10.1186/s40537-025-01323-2
- Ring, M., Wunderlich, S., Scheuring, D., Landes, D., and Hotho, A. (2019). A Survey of Network-Based Intrusion Detection Data Sets. Computers & Security, 86, 147–167.
- https://doi.org/10.1016/j.cose.2019.06.005
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