DocumentCode :
532374
Title :
Research of spam filtering based on Bayesian algorithm
Author :
Gong, YiShan ; Chen, Qiang
Author_Institution :
Foreign Language Inst., Shenyang Univ. of Technol., Shenyang, China
Volume :
4
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
E-mail is the most commonly used network application which has become an important way of network communication. The research of content-based spam filtering technology is a key problem of the Internet security field. The paper described a spam filtering which was based on the Naive Bayesian algorithm and designed a spam filtering model based on the naive Bayesian algorithm. The paper carried out an experiment on the Ling-spam Corpus with VC 6.0 platform, and got a higher accuracy and recall rate.
Keywords :
Internet; belief networks; feature extraction; information filtering; security of data; unsolicited e-mail; Internet security; Ling-spam Corpus; VC 6.0 platform; content based spam filtering technology; e-mail; naive Bayesian algorithm; network application; network communication; Bayesian methods; feature extraction; information gain; naive bayesian; spam filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620432
Filename :
5620432
Link To Document :
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