Aspect-based Attack Detection in Large-scale Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F10%3A00040924" target="_blank" >RIV/00216224:14610/10:00040924 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Aspect-based Attack Detection in Large-scale Networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/OVMASUN200801" target="_blank" >OVMASUN200801: Security of Czech army information and communication systems - On-line monitoring, Visualization and Packet Filtration. Computer Incident Response Capability Development in the Cyber Defence Environment.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Advances in Intrusion Detection
ISBN
978-3-642-15511-6
ISSN
0302-9743
e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Ottawa, Ontario, Kanada
Event date
Sep 15, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000286486100027