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Issue No.11 - November (2005 vol.38)
pp: 55-61
Nong Ye , Arizona State University, Tempe
Toni Farley , Arizona State University, Tempe
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.
INDEX TERMS
Cyberattack detection, Attack-norm separation, Signal detection models, Security and privacy, Detection systems
CITATION
Nong Ye, Toni Farley, "A Scientific Approach to Cyberattack Detection", Computer, vol.38, no. 11, pp. 55-61, November 2005, doi:10.1109/MC.2005.358
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