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AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environments
April 9, 2024, 4:11 a.m. | Mohammed A. M. Farzaan, Mohamed Chahine Ghanem, Ayman El-Hajjar
cs.CR updates on arXiv.org arxiv.org
Abstract: The escalating sophistication and volume of cyber threats in cloud environments necessitate a paradigm shift in strategies. Recognising the need for an automated and precise response to cyber threats, this research explores the application of AI and ML and proposes an AI-powered cyber incident response system for cloud environments. This system, encompassing Network Traffic Classification, Web Intrusion Detection, and post-incident Malware Analysis (built as a Flask application), achieves seamless integration across platforms like Google Cloud …
ai-enabled and response application arxiv automated cloud cloud environments cs.cr cs.et cs.ni cyber cyber incident cyber threats detection detection and response environments incident incident detection paradigm research response strategies system threats
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