DocumentCode
1237669
Title
A scientific approach to cyberattack detection
Author
Ye, Nong ; Farley, Toni
Author_Institution
Arizona State Univ., Tempe, AZ, USA
Volume
38
Issue
11
fYear
2005
Firstpage
55
Lastpage
61
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;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2005.358
Filename
1541880
Link To Document