DocumentCode :
3549590
Title :
A malicious email detection method based on support vector machine
Author :
Hong, Peng ; Jun, Wang ; Wu, Tiefeng ; Zhang, Dongna
Author_Institution :
Sch. of Comput. & Math.-Phys. Sci., Xihua Univ., Chengdu, China
Volume :
1
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
217
Abstract :
Supper vector machine is a machine study method with good performance when the sample size is small. The method of supper vector machine is used to malicious email in the paper that improves the generalizing ability when given less priori knowledge. Then simulation results express this method has better detection rate, overall accuracy and false positive rate reduced when less training sample size.
Keywords :
electronic mail; learning (artificial intelligence); security of data; support vector machines; email filter; machine learning; malicious email detection method; priori knowledge; support vector machine; Data mining; Electronic mail; Filters; Information security; Learning systems; Permission; Postal services; Support vector machine classification; Support vector machines; Waste materials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1468825
Filename :
1468825
Link To Document :
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