A study on malicious codes pattern advanced analysis using visualization |
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Authors: | DongHwi Lee Kuinam J Kim |
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Affiliation: | 1. Department of Computer Science and Engineering, University of Colorado Denver, 1200 Larimer Street NC 2605-C, Campus Box 109, Denver, CO, 80204, USA 2. Department of Convergence Security, Kyonggi University, 94-6 Yiui-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea
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Abstract: | 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. |
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