Safebook: Feasibility of transitive cooperation for privacy on a decentralized social network

Cutillo, Leucio Antonio; Molva, Refik; Strufe, Thorsten

doi:10.1109/wowmom.2009.5282446

Cited by 59 publications

(29 citation statements)

References 4 publications

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“…Regarding the issue above, it has proposed the anonymous ID and one failure in network transmission in paper [12][13][14], this method can ensure that even if an attacker intercepts an anonymous ID, it can't attack social network. Aimed at the problem which once the attacker intercepts a part of user information, it is possible to analyze the corresponding one or more user's problem, the paper [12] designed a user privacy protection scheme based on the model with K-Anonymity [14]. The scheme has determined the minimum user information combination number by setting privacy strength coefficient.…”

Section: Identifier Anonymity Protection Technologymentioning

confidence: 99%

Social Network Privacy Protection Research in Big Data Era

Liang¹

2017

dtcse

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Abstract. With the advent of the big data era, people's lifestyles are quietly changing. Social networking has become an Indispensable part, but there is a great leaks risk of user's privacy in social network. Based on the problems of big data, social network big data and privacy data on the social network, this paper has analyzed privacy protection methods and problems in traditional social network, described the current privacy protection research status and its key technologies of social network in current big data environment, given the future development direction. Only the effective privacy protection technologies combined with related policies and regulations, the problem of personal user information security can be solved. It can provide protection for the healthy development of social networks on big data era.

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Section: Identifier Anonymity Protection Technologymentioning

confidence: 99%

Social Network Privacy Protection Research in Big Data Era

Liang¹

2017

dtcse

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“…Cachet [27], PeerSon [8], Safebook [9], and LifeSocial [13] build a peer-to-peer (p2p) system where peers are not necessarily trusted. Polaris [36], My3 [25] and Vegas [11] build a p2p network among friends to replicate data.…”

Section: Related Workmentioning

confidence: 99%

“…Additionally, OSNs have predictive capabilities about the users as they continuously gather user data. Researchers have tried to address privacy concerns by user-based key management [6,12,14,34], peer-to-peer architectures [8,9,11,13,25,27,32,36], or decentralized platforms [1,3,20,30,31,33,35,38]. In general, peer-to-peer OSN architectures suffer from inefficiency due to high churn rate of users.…”

Section: Introductionmentioning

confidence: 99%

POSN: A Personal Online Social Network

Erdin

Klukovich

Gunduz

et al. 2015

ICT Systems Security and Privacy Protection

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Abstract. A growing concern for end users of Online Social Networks (OSNs) is the privacy and control of user data due to the client-server architecture of the current ecosystems. In this paper, we introduce a privacy preserving decentralized OSN platform, which mimics real life social interactions. In particular, we decentralize the OSN platform and give direct control of the information to the user. The distributed platform removes central authorities from the OSN and users share their content only with intended peers through mobile devices. This decentralized system ensures that interaction happens between friends and third parties cannot access the user content or relationships. To be able to efficiently share objects and provide timely access in the POSN platform, we take advantage of free storage clouds to distribute encrypted user content. The combination of phone-to-phone applications with cloud infrastructure would address the availability limitation of peer-to-peer systems, while enjoying the benefits of peer-to-peer systems, such as no central authority and scalability.

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“…The Safebook 2 p2p OSN [17,18,19] focuses on resource availability as well as content privacy and end-to-end communications confidentiality. It combines a DHT with another p2p network called Matryoshka.…”

Section: Peer-to-peer Osnsmentioning

confidence: 99%