NDLI: Virus detection using data mining techinques

Content Provider	IEEE Xplore Digital Library
Author	Jau-Hwang Wang Deng, P.S. Yi-Shen Fan Li-Jing Jaw Yu-Ching Liu
Copyright Year	2003
Description	Author affiliation: Dept. of Inf. Manage., Central Police Univ., Tao-Yuan, Taiwan (Jau-Hwang Wang; Deng, P.S.; Yi-Shen Fan; Li-Jing Jaw; Yu-Ching Liu)
Abstract	Malicious executables are computer programs, which may cause damages or inconveniences for computer users when they are executed. Virus is one of the major kinds of malicious programs, which attach themselves to others and usually get executed before the host programs. They can be easily planted into computer systems by hackers, or simply down loaded and executed by naive users while they are browsing the Web or reading e-mails. They often damage its host computer system, such as destroying data and spoiling system software when they are executed. Thus, to detect computer viruses before they get executed is a very important issue. Current detection methods are mainly based on pattern scanning algorithms. However, they are unable to detect unknown viruses. An automatic heuristic method to detect unknown computer virus based on data mining techniques, namely decision tree and naive Bayesian network algorithms, is proposed and experiments are carried to evaluate the effectiveness the proposed approach.
Sponsorship	IEEE Lexington Section, USA IEEE Aerospace and Electron. Syst. Soc., USA Chung Shan Inst. of Sci. and Technol., Taiwan US Army Res. Lab. Far East Res. Office, USA Asian Office of Aerospace, Res. and Development, USA IEEE Taipei Section, Taiwan
Starting Page	71
Ending Page	76
File Size	303897
Page Count	6
File Format	PDF
ISBN	0780378822
DOI	10.1109/CCST.2003.1297538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Computer hacking Computer viruses Viruses (medical) System software Decision trees Computer security Internet Databases Information management
Content Type	Text
Resource Type	Article

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