Towards Automatic Critical Infrastructure Protection through Machine Learning

摘要: Critical Infrastructure Protection (CIP) faces increasing challenges in number and sophistication, which makes vital to provide new forms of protection face every day’s threats. In order make such holistic, covering all the needs systems from point view security, prevention aspects situational awareness should be considered. Researchers Institutions stress need providing intelligent automatic solutions for protection, calling our attention Intrusion Detection Systems (IDS) with active reaction capabilities. this paper, we support automating processes implicated IDS critical infrastructures theorize that introduction Machine Learning (ML) techniques will helpful implementing adaptable capable adjusting situations timely reacting threats anomalies. To end, study different levels automation can implement, outline a methodology endow scenarios preventive automation. Finally, analyze current presented literature contrast them against proposed methodology.