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