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Enhanced audit strategies for collaborative and accountable data sharing in social networks
KTH.
2018 (English)In: ACM Transactions on Internet Technology, ISSN 1533-5399, E-ISSN 1557-6051, Vol. 18, no 4, article id 44Article in journal (Refereed) Published
Abstract [en]

Data sharing and access control management is one of the issues still hindering the development of decentralized online social networks (DOSNs), which are now gaining more research attention with the recent developments in P2P computing, such as the secure public ledger-based protocols (Blockchains) for monetary systems. In a previous work, we proposed an initial audit-based model for access control in DOSNs. In this article, we focus on enhancing the audit strategies and the privacy issues emerging from records kept for audit purposes. We propose enhanced audit and collaboration strategies, for which experimental results, on a real online social network graph with simulated sharing behavior, show an improvement in the detection rate of bad behavior of more than 50% compared to the basic model.We also provide an analysis of the related privacy issues and discuss possible privacy-preserving alternatives.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. Vol. 18, no 4, article id 44
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Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-228942DOI: 10.1145/3134439Scopus ID: 2-s2.0-85047109797OAI: oai:DiVA.org:kth-228942DiVA, id: diva2:1211156
Note

QC 20180530

Available from: 2018-05-30 Created: 2018-05-30 Last updated: 2018-05-30Bibliographically approved

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