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: | Li, Chungta, 黎俊達 |
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Other Authors: | Lin, Poching |
Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/70201545048026060414 |
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