NOYB: privacy in online social networks
Proceedings of the first workshop on Online social networks
A Distributed Platform for Multimedia Communities
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
PeerSoN: P2P social networking: early experiences and insights
Proceedings of the Second ACM EuroSys Workshop on Social Network Systems
Persona: an online social network with user-defined privacy
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Understanding online social network usage from a network perspective
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Lockr: better privacy for social networks
Proceedings of the 5th international conference on Emerging networking experiments and technologies
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Current online Social Networking Services (SNS) are organized around a single provider and while storage and functionality can be distributed, the control over the service belongs to one central entity. This structure raises privacy concerns over the handling of large-scale and at least logically centralized collections of user data. In an effort to protect user privacy and decrease provider dependence, decentralization has been proposed for SNS. This decentralization has effects on availability, opportunities for traffic analysis, resource requirements, cooperation and incenctives, trust and accountability for different entities, and performance. In this paper, we explore the spectrum of SNS implementations from centralized to fully decentralized and several hybrid constellations in between. Taking a systematic approach of SNS layers, decentralization classes, and replication strategies, we investigate the design space and focus on two issues as concrete examples where the contrast of extreme ends of the decentralization spectrum is illustrative, namely potential adversaries and churn-related profile availability. In general, our research indicates that hybrid approaches deserve more attention as both centralized as well as entirely decentralized systems suffer from severe drawbacks.