Privacy-Preserving Data Allocation in Decentralized Online Social Networks

Abstract : Distributed Online Social Networks (DOSNs) have been recently proposed as an alternative to centralized solutions to allow a major control of the users over their own data. Since there is no centralized service provider which decides the term of service, the DOSNs infrastructure exploits users’ devices to take on the online social network services. In this paper, we propose a data allocation strategy for DOSNs which exploits the privacy policies of the users to increase the availability of the users’ contents without diverging from their privacy preferences. A set of replicas of the profile’s content of a user U are stored on the devices of other users who are entitled to access the profile according to U’s privacy policies. The experimental results obtained from the simulations on traces taken from a real social network show the effectiveness of our approach.
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Communication dans un congrès
Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.47-60, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_4〉
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Andrea De Salve, Paolo Mori, Laura Ricci, Raed Al-Aaridhi, Kalman Graffi. Privacy-Preserving Data Allocation in Decentralized Online Social Networks. Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.47-60, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_4〉. 〈hal-01434799〉

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