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Dr. Shanu Kuttan Rakesh is an Associate Professor in the Department of Computer Science and Engineering at Chouksey Engineering College, Bilaspur, Chhattisgarh, India. He is involved in higher education and academic activities in computer science and engineering. His contribution explores intelligent computational approaches for cybersecurity and automated threat identification.
The escalating intricacy of assaults, decentralised computing frameworks, cloud-centric infrastructures, and interlinked digital ecosystems has posed considerable difficulties for traditional cybersecurity measures. Conventional security measures frequently assess separate data sources, including network traffic, system logs, in isolation. The suggested framework integrates machine learning, deep learning, natural language processing, behavioural analytics, and multimodal data fusion to detect dubious actions, categorise cyber risks, correlate security incidents, and facilitate automated incident response. The section addresses data collection, preprocessing, feature extraction, integration techniques, attack correlation, and response coordination. The suggested architecture provides a theoretical basis for creating adaptable, context-sensitive, and intelligent cybersecurity technologies that assist security analysts in intricate digital landscapes.