Distributed Detection of Node Replication Attacks in Sensor Networks
SP '05 Proceedings of the 2005 IEEE Symposium on Security and Privacy
Evaluating similarity measures: a large-scale study in the orkut social network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Scaling up all pairs similarity search
Proceedings of the 16th international conference on World Wide Web
Efficient similarity joins for near duplicate detection
Proceedings of the 17th international conference on World Wide Web
It's not what you know, but who you know: a social approach to last-resort authentication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
All your contacts are belong to us: automated identity theft attacks on social networks
Proceedings of the 18th international conference on World wide web
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
I seek you: searching and matching individuals in social networks
Proceedings of the eleventh international workshop on Web information and data management
Random-walk based approach to detect clone attacks in wireless sensor networks
IEEE Journal on Selected Areas in Communications
The privacy in the time of the internet: secrecy vs transparency
Proceedings of the second ACM conference on Data and Application Security and Privacy
FakeBook: Detecting Fake Profiles in On-Line Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Virtual private social networks and a facebook implementation
ACM Transactions on the Web (TWEB)
A defence scheme against Identity Theft Attack based on multiple social networks
Expert Systems with Applications: An International Journal
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Online social networks (OSNs) are becoming increasingly popular and Identity Clone Attacks (ICAs) that aim at creating fake identities for malicious purposes on OSNs are becoming a significantly growing concern. Such attacks severely affect the trust relationships a victim has built with other users if no active protection is applied. In this paper, we first analyze and characterize the behaviors of ICAs. Then we propose a detection framework that is focused on discovering suspicious identities and then validating them. Towards detecting suspicious identities, we propose two approaches based on attribute similarity and similarity of friend networks. The first approach addresses a simpler scenario where mutual friends in friend networks are considered; and the second one captures the scenario where similar friend identities are involved. We also present experimental results to demonstrate flexibility and effectiveness of the proposed approaches. Finally, we discuss some feasible solutions to validate suspicious identities.