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Issue No. 11 - November (2005 vol. 38)
ISSN: 0018-9162
pp: 55-61
Toni Farley , Arizona State University, Tempe
Nong Ye , 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
Toni Farley, Nong Ye, "A Scientific Approach to Cyberattack Detection", Computer, vol. 38, no. , pp. 55-61, November 2005, doi:10.1109/MC.2005.358
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