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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 effective solutions. 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 detection of dictionary attacks that is validated with empirical data in this paper.
  • 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 effective solutions. 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 detection of dictionary attacks that is validated with empirical data in this paper. (en)
Title
  • Protocol-independent Detection of Dictionary Attacks
  • Protocol-independent Detection of Dictionary Attacks (en)
skos:prefLabel
  • Protocol-independent Detection of Dictionary Attacks
  • Protocol-independent Detection of Dictionary Attacks (en)
skos:notation
  • RIV/00216224:14610/13:00065726!RIV14-MV0-14610___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(VF20132015031)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 100560
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/13:00065726
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • traffic classes; anomaly detection; network behavior analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C92436C4A584]
http://linked.open...v/mistoKonaniAkce
  • Chemnitz
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Advances in Communication Networking
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Drašar, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn
  • 9783642405518
http://localhost/t...ganizacniJednotka
  • 14610
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