IJSRP, Volume 14, Issue 10, October 2024 Edition [ISSN 2250-3153]
D.H. Senevirathna,W.M.M. Gunasekara, K.P.A.T. Gunawardhana, M.F.F. Ashra, Isuranga Nipun Kumara, Kavinga Yapa, Harindra Fernando
Abstract:
These threats have grown in complexity and sophistication over time to a point where organizational security has been challenged in unprecedented ways. A couple of years later, SOCs have turned into NextGen SOCs to use deep learning models in identifying and mitigating threats at the instance of an attack. The paper presents a holistic framework for the profiling of organizational threats across four diverse domains: endpoint data, physical security systems, human behavior, and network traffic. It integrates federated learning for privacy-preserving endpoint data analysis,
D.H. Senevirathna,W.M.M. Gunasekara, K.P.A.T. Gunawardhana, M.F.F. Ashra, Isuranga Nipun Kumara, Kavinga Yapa, Harindra Fernando
(2024); Deep Learning Approaches to Profiling Organizational Threats in NextGen SOC ; International Journal of Scientific and Research Publications (IJSRP)
14(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.14.10.2024.p15420