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@inproceedings{746146,
author = {Rehák, Martin and Pěchouček, Michal and Bartoš, Karel and Grill, Martin and Čeleda, Pavel},
address = {Los Alamitos, California},
booktitle = {Intelligent Agent Technology},
keywords = {network intrusion detection; agent community; trust model},
language = {eng},
location = {Los Alamitos, California},
isbn = {978-0-7695-3027-7},
pages = {498-504},
publisher = {IEEE Computer Society},
title = {Network Intrusion Detection by Means of Community of Trusting Agents},
url = {http://doi.ieeecomputersociety.org/10.1109/IAT.2007.74},
year = {2007}
}
TY - JOUR
ID - 746146
AU - Rehák, Martin - Pěchouček, Michal - Bartoš, Karel - Grill, Martin - Čeleda, Pavel
PY - 2007
TI - Network Intrusion Detection by Means of Community of Trusting Agents
PB - IEEE Computer Society
CY - Los Alamitos, California
SN - 9780769530277
KW - network intrusion detection
KW - agent community
KW - trust model
UR - http://doi.ieeecomputersociety.org/10.1109/IAT.2007.74
N2 - We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection, and combines them by means of extended trust model. Deployment of trust model ensures interoperability between methods, allows cross-correlation of results during various stages of the detection and ensures efficient evaluation of current traffic in the context of historical observations. The goal of the system, which is designed for online monitoring of high-speed network, is to provide efficient tool for targeted runtime surveillance of malicious traffic by network operators. We aim to achieve this objective by filtering out the non-malicious (trusted) part of the traffic and submitting only potentially malicious flows for subsequent semi-automatic inspection.
ER -
REHÁK, Martin, Michal PĚCHOUČEK, Karel BARTOŠ, Martin GRILL a Pavel ČELEDA. Network Intrusion Detection by Means of Community of Trusting Agents. Online. In \textit{Intelligent Agent Technology}. Los Alamitos, California: IEEE Computer Society, 2007. s.~498-504. ISBN~978-0-7695-3027-7. [citováno 2024-04-23]
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