Detecting Metamorphic Malware based on Machine Learning
碩士 === 國立中山大學 === 資訊管理學系研究所 === 107 === With the prevalence of the Internet, the number of malware in the Windows platform is growing. According to the McAfee Labs’ analysis report, the cases of malware using evasive techniques has also increased. Many kinds of evasive techniques, including obfuscat...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/779hdy |