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A Study on Malicious Codes Pattern Analysis Using Visualization

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4 Author(s)
DongHwi Lee ; Dept. of Ind. Security, Kyonggi Univ., Suwon, South Korea ; In Soo Song ; Kuinam J. Kim ; Jun-hyeon Jeong

The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code circulation very serious, So it is time to require analysis about malicious code. The being so malicious code pattern extract for malicious code properties of anti-virus company. Visualization possible to make one image for thousands upon thousands of malicious code. and It is possible to extract unseen pattern. Therefore this paper of object is various malicious code analysis besides new or variant malicious code type or form deduction using visualization of strong. Thus this paper proposes unseen malicious code pattern extract.

Published in:

2011 International Conference on Information Science and Applications

Date of Conference:

26-29 April 2011