A novel social search model based on trust and popularity

Mining web user trust relationship is important in web information credibility analysis. Motivated by the imprecise nature of trustiness, we propose a novel web user trust prediction method based on evidence theory, which uses user ratings to infer trust relationships between users, where each rating score is treated as an evidence. The method first generates basic probability assignments with training sample set using classical statistics; then, integrates conflict resolution rules and D-S evidence combination rules to obtain global BPA; finally, identifies user trust relationships based on global BPA. Our experiments conducted on the Extended Epinions dataset show that the precision, recall and F-measure of the proposed approach reaches 96.78%, 99.44% and 98.10% respectively, with 0.06%, 13.41% and 9.09% improvement over current best practices, demonstrating the advantages and effectiveness of using evidence theory to identify user trust relationship in social networks.

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Security and Privacy of Distributed Online Social Networks

Boshrooyeh

Küpçü

Özkasap

2015

2015 IEEE 35th International Conference on Distributed Computing Systems Workshops

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Online social networks (OSNs) suffer from various security and privacy problems. The main source of the security problems is the central service provider that observes users' data and relationships. Distributed OSN (DOSN) is an alternative approach where users control their data without having any central service provider. In DOSNs, for the sake of data availability, users replicate or cache data in other users of the OSN. The replica nodes are indeed another kind of service provider in a small scale and with a local view. Therefore, even though decentralization removes the global view of the single provider, it results in having several small ones. By this claim, centralized and distributed OSNs have several common security concerns. Although there exist prior studies discussing and classifying security issues, a fine grained classification of various state-of-the-art solutions is not available. In this paper, we focus on the data privacy, data integrity, and secure social search solutions for centralized and distributed OSNs. Furthermore, we discuss open security problems and concerns, that can be used as future research directions.

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A novel social search model based on trust and popularity

Cited by 5 publications

References 8 publications

A group trust metric for identifying people of trust in online social networks

A group trust metric for identifying people of trust in online social networks

Web User Trust Relationship Prediction based on Evidence Theory

Security and Privacy of Distributed Online Social Networks

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