A Scientific Approach to Cyberattack Detection

Authors:
Nong Ye;Toni Farley
Affiliations:
Arizona State University, Tempe;Arizona State University, Tempe
Venue:
Computer
Year:
2005

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Abstract

Attack-norm separation uses rigorous signal detection models to isolate attack signals from normal data before attack identification. By drawing from science instead of heuristics, this approach promises more efficient, accurate, and inclusive attack identification.