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  • In this article, we introduce a novel method for spam detection based on a combination of Bayesian filtering, signature trees, and data compression-based similarity. Bayesian filtering is one of the most popular and most efficient algorithms for dealing with spam detection. The problem with Bayesian filtering is that it is unable to classify any e-mail without doubt and sometimes spam e-mails are classified as regular e-mails. This novel method sorts out this problem by using signature trees and data compression-based similarity. The main result of this article is an up to 99% improvement in spam detection precision using this novel method.
  • In this article, we introduce a novel method for spam detection based on a combination of Bayesian filtering, signature trees, and data compression-based similarity. Bayesian filtering is one of the most popular and most efficient algorithms for dealing with spam detection. The problem with Bayesian filtering is that it is unable to classify any e-mail without doubt and sometimes spam e-mails are classified as regular e-mails. This novel method sorts out this problem by using signature trees and data compression-based similarity. The main result of this article is an up to 99% improvement in spam detection precision using this novel method. (en)
Title
  • Spam detection using data compression and signatures
  • Spam detection using data compression and signatures (en)
skos:prefLabel
  • Spam detection using data compression and signatures
  • Spam detection using data compression and signatures (en)
skos:notation
  • RIV/61989100:27740/13:86088864!RIV14-GA0-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073), P(GPP202/11/P142)
http://linked.open...iv/cisloPeriodika
  • 6-7
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
  • 106764
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86088864
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • spam; signatures; S-tree; e-mail; data compression; Bayesian filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [DD9D235C8124]
http://linked.open...i/riv/nazevZdroje
  • Cybernetics and Systems
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...v/svazekPeriodika
  • 44
http://linked.open...iv/tvurceVysledku
  • Platoš, Jan
  • Snášel, Václav
  • Prílepok, Michal
  • Berek, Petr
http://linked.open...ain/vavai/riv/wos
  • 000323877900005
issn
  • 0196-9722
number of pages
http://bibframe.org/vocab/doi
  • 10.1080/01969722.2013.805110
http://localhost/t...ganizacniJednotka
  • 27740
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