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