The LOCKSS peer-to-peer digital preservation system
ACM Transactions on Computer Systems (TOCS)
SybilGuard: defending against sybil attacks via social networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
TRIBLER: a social-based peer-to-peer system: Research Articles
Concurrency and Computation: Practice & Experience - Recent Advances in Peer-to-Peer Systems and Security (P2P 2006)
Ostra: leveraging trust to thwart unwanted communication
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Friendstore: cooperative online backup using trusted nodes
Proceedings of the 1st Workshop on Social Network Systems
Comparison of online social relations in volume vs interaction: a case study of cyworld
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
PeerSoN: P2P social networking: early experiences and insights
Proceedings of the Second ACM EuroSys Workshop on Social Network Systems
Measurement-calibrated graph models for social network experiments
Proceedings of the 19th international conference on World wide web
On managing social data for enabling socially-aware applications and services
Proceedings of the 3rd Workshop on Social Network Systems
Prometheus: user-controlled P2P social data management for socially-aware applications
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
Safe and private data sharing with turtle: friends team-up and beat the system
SP'04 Proceedings of the 12th international conference on Security Protocols
Safebook: A privacy-preserving online social network leveraging on real-life trust
IEEE Communications Magazine
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The recent increase in the volume of recorded social interactions has the potential to enable a large class of innovative social applications and services. The decentralized management of such social information as a social graph distributed on a user-contributed peer-to-peer network is appealing due to privacy concerns. This paper studies the vulnerability of such a peer-to-peer system to attacks staged by malicious users who try to manipulate the graph or by malicious peers who try to manipulate the mining of the social graph. We discuss the effects and limitations of such attacks and we show experimentally how the distribution of the social data onto peers affects the system's resilience.