About: Flow-based Brute-force Attack Detection     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Brute-force attacks are a prevalent phenomenon that is getting harder to successfully detect on a network level due to increasing volume and encryption of network traffic and growing ubiquity of high-speed networks. Although the research in this field advanced considerably, there still remain classes of attacks that are hard to detect. In this chapter, we present several methods for the detection of brute-force attacks based on the analysis of network flows. We discuss their strengths and shortcomings as well as shortcomings of flow-based methods in general. We also demonstrate the fragility of some methods by introducing detection evasion techniques.
  • Brute-force attacks are a prevalent phenomenon that is getting harder to successfully detect on a network level due to increasing volume and encryption of network traffic and growing ubiquity of high-speed networks. Although the research in this field advanced considerably, there still remain classes of attacks that are hard to detect. In this chapter, we present several methods for the detection of brute-force attacks based on the analysis of network flows. We discuss their strengths and shortcomings as well as shortcomings of flow-based methods in general. We also demonstrate the fragility of some methods by introducing detection evasion techniques. (en)
Title
  • Flow-based Brute-force Attack Detection
  • Flow-based Brute-force Attack Detection (en)
skos:prefLabel
  • Flow-based Brute-force Attack Detection
  • Flow-based Brute-force Attack Detection (en)
skos:notation
  • RIV/00216224:14610/13:00065695!RIV14-MO0-14610___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(OVMASUN200801)
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
  • 75326
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/13:00065695
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • network; flow; brute force attack; password; detection; similarity; entropy; evasion (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7DE339CB7AFD]
http://linked.open...i/riv/mistoVydani
  • Stuttgart
http://linked.open...vEdiceCisloSvazku
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Advances in IT Early Warning
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vykopal, Jan
  • Drašar, Martin
  • Winter, Philipp
number of pages
http://purl.org/ne...btex#hasPublisher
  • Fraunhofer Verlag
https://schema.org/isbn
  • 978-3-8396-0474-8
http://localhost/t...ganizacniJednotka
  • 14610
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 49 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software