A survey of learning-based techniques of email spam filtering View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-03

AUTHORS

Enrico Blanzieri, Anton Bryl

ABSTRACT

Email spam is one of the major problems of the today’s Internet, bringing financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. In this paper we give an overview of the state of the art of machine learning applications for spam filtering, and of the ways of evaluation and comparison of different filtering methods. We also provide a brief description of other branches of anti-spam protection and discuss the use of various approaches in commercial and non-commercial anti-spam software solutions. More... »

PAGES

63-92

References to SciGraph publications

  • 2003-01. A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists in INFORMATION RETRIEVAL JOURNAL
  • 2001-05-18. Pricing via Processing or Combatting Junk Mail in ADVANCES IN CRYPTOLOGY — CRYPTO’ 92
  • 2003. Approximate Object Location and Spam Filtering on Peer-to-Peer Systems in MIDDLEWARE 2003
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10462-009-9109-6

    DOI

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    DIMENSIONS

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