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Description of  SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention (Wiley Series on Parallel and Distributed Computing)

Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systemsthe control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory managementcan lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning. Read more