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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • ISSN

    1474-6670

  • e-ISSN

  • 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