A Scientific Approach to Cyberattack Detection

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http://doi.ieeecomputersociety.org/10.1109/MC.2005.358

November 2005 (vol. 38 no. 11) pp. 55-61

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	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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