| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 102 === The service providers of social network urgently require the confrontation through the modeling the ”clickjacking” patterns to detect the Clickjacking fans pages behavior.The Clikjacking in social network is bypassed currently not only signature-based mechanisms but also more complicated abnormal patterns, e.g., bipartite relations between users and pages. Therefore, in this study, we pro- pose a mechanisms named Clickjacking Hunter, detect Clickjacking fanpages throuhgh modeling fans base growing of fanpages evolution.
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