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CADIVa: cooperative and adaptive decentralized identity validation model for social networks
KTH, School of Electrical Engineering (EES), Communication Networks.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
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2016 (English)In: SOCIAL NETWORK ANALYSIS AND MINING, ISSN 1869-5450, Vol. 6, no 1, UNSP 36Article in journal (Refereed) Published
Abstract [en]

Online social networks (OSNs) have successfully changed the way people interact. Online interactions among people span geographical boundaries and interweave with different human life activities. However, current OSNs identification schemes lack guarantees on quantifying the trustworthiness of online identities of users joining them. Therefore, driven from the need to empower users with an identity validation scheme, we introduce a novel model, cooperative and adaptive decentralized identity validation CADIVa, that allows OSN users to assign trust levels to whomever they interact with. CADIVa exploits association rule mining approach to extract the identity correlations among profile attributes in every individual community in a social network. CADIVa is a fully decentralized and adaptive model that exploits fully decentralized learning and cooperative approaches not only to preserve users privacy, but also to increase the system reliability and to make it resilient to mono-failure. CADIVa follows the ensemble learning paradigm to preserve users privacy and employs gossip protocols to achieve efficient and low-overhead communication. We provide two different implementation scenarios of CADIVa. Results confirm CADIVa's ability to provide fine-grained community-aware identity validation with average improvement up to 36 and 50 % compared to the semi-centralized or global approaches, respectively.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 6, no 1, UNSP 36
Keyword [en]
Identity validation, Online social networks, Distributed systems, Privacy preservation, Decentralized online social networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-193150DOI: 10.1007/s13278-016-0343-zISI: 000381220500036ScopusID: 2-s2.0-84976332626OAI: diva2:1014949

QC 20161003

Available from: 2016-10-03 Created: 2016-09-30 Last updated: 2016-10-03Bibliographically approved

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Soliman, AmiraGirdzijauskas, Šarunas
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