DocumentCode :
3169794
Title :
The Spam Filtering Technology Based on SVM and D-S Theory
Author :
Ye, Miao ; Jiang, Qiu-Xiang ; Mai, Fan-Jin
Author_Institution :
GuiLin Inst. of Ind. Technol., Guilin
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
562
Lastpage :
565
Abstract :
The development of spam techniques and rapid increase of spam amount poses a severe challenge to anti-spam technologies. Given the limitation of classification based on mail body textual content, this paper focuses on designing the spam discrimination model based on SVM and D-S theory, which uses SVM with probability to classify e-mail, according to the features of mail headers and mail body respectively, and uses D-S Theory to judge the combination result. Experimental result indicates that the proposed model can improve the accuracy of spam identification.
Keywords :
inference mechanisms; support vector machines; unsolicited e-mail; D-S theory; SVM; e-mail; mail body textual content; mail headers; spam filtering technology; Computer industry; Electronic mail; Filtering theory; Filters; Law; Mining industry; Postal services; Support vector machine classification; Support vector machines; Unsolicited electronic mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.42
Filename :
4470460
Link To Document :
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