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Trusted information exchange in peer‐to‐peer mobile social networks
Author(s) -
Qureshi Basit,
Min Geyong,
Kouvatsos Demetres
Publication year - 2011
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1837
Subject(s) - computer science , popularity , social graph , internet privacy , peer to peer , world wide web , mobile device , trustworthiness , trusted computing , social network (sociolinguistics) , information exchange , graph , computer security , social media , theoretical computer science , psychology , social psychology , telecommunications
SUMMARY Social networks have recently been gaining popularity. In a peer‐to‐peer mobile social network (MSN), users with similar interests establish groups or communities and share information without relying on a centralized infrastructure. Users socially interact with each other using handheld mobile devices and membership in a group/community of MSNs is granted by a pre‐existing group member. However, it is possible that a group of malicious users can collude to promote another untrustworthy user in becoming a group member. Moreover, revoking membership without the existence of a central authority in a group is also a grant challenge. To address these problems in peer‐to‐peer MSNs, we propose a decentralized framework and the related algorithms for trusted information exchange and social interaction among users based on the dynamicity aware graph relabeling system. In contrast to the existing implementations of social networks based on a client/server paradigm, the proposed framework utilizes a lightweight trust model for identifying trustworthy users and aims at creating communities of trusted users while isolating and reducing interactions with untrustworthy users. Simulation results demonstrated the effectiveness of the proposed framework compared with the traditional dynamicity aware graph relabeling system algorithm.Copyright © 2011 John Wiley & Sons, Ltd.