A method of spam detection based on structural similarity
碩士 === 國立中正大學 === 資訊工程研究所 === 100 === Spammers usually deliver a large number of spam instances generated from a set of templates. To identify spam messages in the same campaigns or to detect new spam instances that are likely to belong to known campaigns, we propose a method to group spam messages...
| 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/70201545048026060414 |