SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals


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Contact UsThis study introduces a Zeek-based monitoring framework that leverages transport layer and layer two invariants, such as MAC and VLAN integrity, multicast group membership, traffic rates, and MMS connection behavior, to detect the most consequential precursors to substation misoperation. Using reproducible lab PCAPs, the framework validates lightweight detectors for baseline discovery, false data injection precursors, denial-of-service, spoofing, and eavesdropping/exposure.







