6533b86cfe1ef96bd12c8b78
RESEARCH PRODUCT
Privacy-preserving data allocation in decentralized online social networks
Laura RicciKalman GraffiAndrea De SalvePaolo MoriRaed Al-aaridhisubject
Service (systems architecture)ExploitComputer sciencePrivacy policyControl (management)02 engineering and technologyPeer-to-peercomputer.software_genreComputer securityTheoretical Computer ScienceSet (abstract data type)[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Privacy policySocial networkSettore INF/01 - Informaticabusiness.industryComputer Science (all)020206 networking & telecommunicationsService providerDecentralized online social network Data availability Privacy policy Peer-to-peerData availabilityPeer-to-peerDecentralized online social network020201 artificial intelligence & image processingbusinesscomputerComputer networkdescription
International audience; 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.
year | journal | country | edition | language |
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2016-06-06 |