DocumentCode :
2969117
Title :
Intelligent automatic malicious code signatures extraction
Author :
Deng, Peter Shaohua ; Wang, Jau-Hwang ; Shieh, Wen-Gong ; Yen, Chih-Pin ; Tung, Cheng-Tan
Author_Institution :
Dept. of Inf. Manage., Central Police Univ., Taoyuan, Taiwan
fYear :
2003
fDate :
14-16 Oct. 2003
Firstpage :
600
Lastpage :
603
Abstract :
The computer malicious executable code has been with us for a quite long time. Since computer hardware and Internet is growing so fast today, security threats of malicious executable code are getting more serious. Basically, malicious executable codes are categorized into three kinds. The first is called virus, which always infect other benign programs. The second is called Trojan which always masquerade its malicious executable code inside a usefully utility or freeware program. And the last but not the least is called worm that replicate and distribute itself automatically around the network. According to the literature survey [R.A. Grimes (2001)], current antivirus products cannot detect all the malicious codes, especially for those unseen, polymorphism malicious executable codes. Moreover, there are many virus program generators and mutation engines available on public Web sites that can be downloaded freely make a lot of unseen, polymorphism, and harmful executable malicious code. So how to extract virus signatures efficiently and effectively automatically instead of manually for an antivirus scanner system is quite important and also is the major purpose of this research.
Keywords :
authorisation; computer crime; computer viruses; distributed programming; message authentication; Trojan virus; antivirus scanner system; computer virus; intelligent automatic malicious code; mutation engine; signature extraction; virus program generator; Automatic programming; Computer security; Computer worms; Data mining; Genetic mutations; Hardware; Humans; Information management; Internet; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2003. Proceedings. IEEE 37th Annual 2003 International Carnahan Conference on
Print_ISBN :
0-7803-7882-2
Type :
conf
DOI :
10.1109/CCST.2003.1297626
Filename :
1297626
Link To Document :
بازگشت