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A Scientific Approach to Cyberattack Detection
November 2005 (vol. 38 no. 11)
pp. 55-61
ASCII Text
x 
 
Nong Ye, Toni Farley, "A Scientific Approach to Cyberattack Detection," Computer, vol. 38, no. 11, pp. 55-61, November, 2005.
 
 
BibTex
x
 
@article{ 10.1109/MC.2005.358,
author = {Nong Ye and Toni Farley},
title = {A Scientific Approach to Cyberattack Detection},
journal ={Computer},
volume = {38},
number = {11},
issn = {0018-9162},
year = {2005},
pages = {55-61},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2005.358},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - A Scientific Approach to Cyberattack Detection
IS - 11
SN - 0018-9162
SP55
EP61
EPD - 55-61
A1 - Nong Ye,
A1 - Toni Farley,
PY - 2005
KW - Cyberattack detection
KW - Attack-norm separation
KW - Signal detection models
KW - Security and privacy
KW - Detection systems
VL - 38
JA - Computer
ER -
 
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.
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, Nov. 2005, doi:10.1109/MC.2005.358
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