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Meaningful attack graph reconstruction through stochastic marking analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098026" target="_blank" >RIV/61989100:27240/16:86098026 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7570519/" target="_blank" >http://ieeexplore.ieee.org/document/7570519/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SPECTS.2016.7570519" target="_blank" >10.1109/SPECTS.2016.7570519</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Meaningful attack graph reconstruction through stochastic marking analysis

  • Original language description

    Nowadays, the defense against Denial of Service (DoS) attacks is receiving particular interest. Different techniques have been proposed and, in particular, the Packet Marking (PM) and TraceBack (TB) procedures demonstrated a good capacity of facing the different malicious attacks. While host-based DoS attacks are more easily traced and managed, network-based DoS attacks are a more challenging threat. The powerful point of IP TB approach is the possibility given to routers to mark and add some information on attack packets, on the basis of a fixed probability value. In this paper, we propose a possible approach for modeling the classical probabilistic PM algorithms as Markov chains, giving the possibility to obtain a closed form for the evaluation of the right number of received marked packets, in order to build a meaningful attack graph. (C) 2016 The Society for Modeling and Simulation International.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2016 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2016 - Part of SummerSim 2016 Multiconference

  • ISBN

    978-1-5108-2423-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Vienna

  • Event location

    Montreal

  • Event date

    Jul 24, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article