Title :
A scientific approach to cyberattack detection
Author :
Ye, Nong ; Farley, Toni
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
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.
Keywords :
Internet; security of data; signal denoising; signal detection; source separation; attack identification; attack signal detection; attack-norm separation; cyberattack detection; Computer crime; Computer networks; Computerized monitoring; Counting circuits; Mathematical model; Noise cancellation; Pattern recognition; Radar detection; Signal detection; Signal processing; Attack-norm separation; Cyberattack detection; Detection systems; Security and privacy; Signal detection models;
DOI :
10.1109/MC.2005.358
