Improving sybil detection in online social networks
Due to open and anonymous nature, online social networks are particularly vulnerable to Sybil attack, where a malicious user can fabricate many dummy identities to target systems. Recently, there are a flurry of interests to leverage social network structure for Sybil defense. The rationale behind t...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2014
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| Online Access: | https://hdl.handle.net/10356/61788 |
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| Institution: | Nanyang Technological University |
| Language: | English |