An SMS spam filtering system using support vector machine

Inwhee Joe, Hyetaek Shim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

This paper describes a powerful and adaptive spam filtering system for SMS (Short Messaging Service) that uses SVM (Support Vector Machine) and a thesaurus. The system isolates words from sample data using a pre-processing device and integrates meanings of isolated words using a thesaurus, generates features of integrated words through chi-square statistics, and studies these features. The system is realized in a Windows environment and its performance is experimentally confirmed.

Original languageEnglish
Title of host publicationFuture Generation Information Technology - Second International Conference, FGIT 2010, Proceedings
Pages577-584
Number of pages8
DOIs
StatePublished - 2010 Dec 1
Event2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010 - Jeju Island, Korea, Republic of
Duration: 2010 Dec 132010 Dec 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010
CountryKorea, Republic of
CityJeju Island
Period10/12/1310/12/15

Fingerprint

Thesauri
Spam
Support vector machines
Support Vector Machine
Thesaurus
Filtering
Adaptive filtering
Chi-square
Statistics
Preprocessing
Processing
Integrate

Keywords

  • Spam filtering system
  • short messaging service
  • support vector machine
  • thesaurus

Cite this

Joe, I., & Shim, H. (2010). An SMS spam filtering system using support vector machine. In Future Generation Information Technology - Second International Conference, FGIT 2010, Proceedings (pp. 577-584). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6485 LNCS). https://doi.org/10.1007/978-3-642-17569-5_56
Joe, Inwhee ; Shim, Hyetaek. / An SMS spam filtering system using support vector machine. Future Generation Information Technology - Second International Conference, FGIT 2010, Proceedings. 2010. pp. 577-584 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Joe, I & Shim, H 2010, An SMS spam filtering system using support vector machine. in Future Generation Information Technology - Second International Conference, FGIT 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6485 LNCS, pp. 577-584, 2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010, Jeju Island, Korea, Republic of, 10/12/13. https://doi.org/10.1007/978-3-642-17569-5_56

An SMS spam filtering system using support vector machine. / Joe, Inwhee; Shim, Hyetaek.

Future Generation Information Technology - Second International Conference, FGIT 2010, Proceedings. 2010. p. 577-584 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6485 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Joe I, Shim H. An SMS spam filtering system using support vector machine. In Future Generation Information Technology - Second International Conference, FGIT 2010, Proceedings. 2010. p. 577-584. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-17569-5_56