Cart (Loading....) | Create Account
Close category search window
 

Associative classification and post-processing techniques used for malware detection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yanfang Ye ; Dept. of Comput. Sci., Xiamen Univ., Xiamen ; Qingshan Jiang ; Weiwei Zhuang

Numerous attacks made by the malware have presented serious threats to the security of computer users. Unfortunately, along with the development of the malware writing techniques, the number of file samples that need to be analyzed is constantly increasing on a daily basis. An automatic and robust tool to analyze and classify the file samples is the need of the hour. In this paper, resting on the analysis of Windows API execution sequences called by PE files, we use associative classification and post-processing techniques for malware detection. Promising experimental results demonstrate that the accuracy and efficiency of our malware detection method outperform popular anti-virus scanners such as Norton AntiVirus and Dr. Web, as well as previous data mining based detection systems which employed Naive Bayes, Support Vector Machine (SVM) and Decision Tree techniques. In particular, the post-processing techniques we adopt can greatly reduce the number of generated rules which make it easy for the human analysts to identify the useful ones.

Published in:

Anti-counterfeiting, Security and Identification, 2008. ASID 2008. 2nd International Conference on

Date of Conference:

20-23 Aug. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.