Improving sybil detection in online social networks

• Main Author: Zhang, Huanhuan
• Other Authors: Chang Kuiyu
• Format: Theses and Dissertations
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/61788
• Institution: Nanyang Technological University

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...