Advanced Temporal-Difference Learning for Intrusion Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86094771" target="_blank" >RIV/61989100:27240/15:86094771 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ifacol.2015.07.005" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2015.07.005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2015.07.005" target="_blank" >10.1016/j.ifacol.2015.07.005</a>
Alternative languages
Result language
angličtina
Original language name
Advanced Temporal-Difference Learning for Intrusion Detection
Original language description
Nowadays intrusion detection for cyber security is the dynamically researched area. The main purpose of the intrusion detection is to distinguish normal usage of analyzed system from different forms of misuses and abnormal behaviors. The big amount of intrusion detection approaches such as soft computing and machine learning algorithms was made. In spite of visible progress, there are still many opportunities to improve state-of-the-art techniques. This paper presents the new intrusion detection technique that is based on temporal-difference learning for Markov decision processes. Actually, this method is the advanced form of the existing temporal-difference based approach named Temporal-Difference based Sequence Anomaly Detection (or TD_SAD). Due to this fact, our approach is called TD_SAD2. It is shown that the proposed approach can achieve at least comparable accuracy for intrusion detection by benchmarking with existing leading approaches.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFAC Proceedings Volumes (IFAC-PapersOnline). Volume 48
ISBN
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ISSN
1474-6670
e-ISSN
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Number of pages
5
Pages from-to
43-48
Publisher name
IFAC
Place of publication
London
Event location
Krakov
Event date
May 13, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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