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@inproceedings{897872,
author = {Drašar, Martin and Vykopal, Jan and Krejčí, Radek and Čeleda, Pavel},
address = {Berlin},
booktitle = {Recent Advances in Intrusion Detection},
keywords = {intrusion detection;aspect;network;large-scale;convolution;parallel},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin},
isbn = {978-3-642-15511-6},
pages = {488 - 489},
publisher = {Springer Berlin / Heidelberg},
title = {Aspect-based Attack Detection in Large-scale Networks},
url = {http://www.springerlink.com/content/d11326482k386j5r/},
year = {2010}
}
TY - JOUR
ID - 897872
AU - Drašar, Martin - Vykopal, Jan - Krejčí, Radek - Čeleda, Pavel
PY - 2010
TI - Aspect-based Attack Detection in Large-scale Networks
PB - Springer Berlin / Heidelberg
CY - Berlin
SN - 9783642155116
KW - intrusion detection;aspect;network;large-scale;convolution;parallel
UR - http://www.springerlink.com/content/d11326482k386j5r/
N2 - In this paper, a novel behavioral method for detection of attacks on a network is presented. The main idea is to decompose a traffic into smaller subsets that are analyzed separately using various mechanisms. After analyses are performed, results are correlated and attacks are detected. Both the decomposition and chosen analytical mechanisms make this method highly parallelizable. The correlation mechanism allows to take into account results of detection methods beside the aspect-based detection.
ER -
DRAŠAR, Martin, Jan VYKOPAL, Radek KREJČÍ a Pavel ČELEDA. Aspect-based Attack Detection in Large-scale Networks. Online. In \textit{Recent Advances in Intrusion Detection}. Berlin: Springer Berlin / Heidelberg, 2010. s.~488 - 489. ISBN~978-3-642-15511-6. [citováno 2024-04-23]
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