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