Malware Classification via n-gram Analysis
碩士 === 元智大學 === 資訊工程學系 === 104 === This thesis aims at developing an efficient automatic malware classification system based on static analysis. We collected 21,746 malware samples from Microsoft Malware Classification Challenge (BIG 2015). Each sample contains binary code and assembly code. To buil...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/32992154303572368533 |