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Protocol-independent Detection of Dictionary Attacks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F13%3A00065726" target="_blank" >RIV/00216224:14610/13:00065726 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Protocol-independent Detection of Dictionary Attacks

  • Original language description

    Data throughput of current high-speed networks makes it prohibitively expensive to detect attacks using conventional means of deep packet inspection. The network behavior analysis seemed to be a solution, but it lacks in several aspects. The academic research focuses on sophisticated and advanced detection schemes that are, however, often problematic to deploy into the production. In this paper we try different approach and take inspiration from industry practice of using relatively simple but effectivesolutions. We introduce a model of malicious traffic based on practical experience that can be used to create simple and effective detection methods. This model was used to develop a successful proof-of-concept method for protocol-independent detectionof dictionary attacks that is validated with empirical data in this paper.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/VF20132015031" target="_blank" >VF20132015031: Security of Optical Components in Data and Communication Networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Communication Networking

  • ISBN

    9783642405518

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    304-309

  • Publisher name

    Springer Berlin Heidelberg

  • Place of publication

    Berlin

  • Event location

    Chemnitz

  • Event date

    Aug 28, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article