Suspicious URL Filter based on Logistic Regression with Multi-view Analysis
碩士 === 國立臺灣科技大學 === 資訊工程系 === 100 === The current malicious URLs detecting techniques based on URL analysis are hard to find the malicious URLs infected via the obfuscated techniques (e.g., insertion of benign tokens). In this study, we propose an approach based on multi-view in order to reduce the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3kf7h7 |