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PerContRep: a practical reputation system for pervasive content services

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Abstract

Social network has extended its popularity from the Internet to mobile domain. Personal mobile devices can be self-organized and communicate with each other for instant social activities at any time and in any places to achieve pervasive social networking (PSN). In such a network, various content information flows. To which extent should mobile users trust it, whilst user privacy can also be preserved? Existing work has not yet seriously considered trust and reputation management, although trust plays an important role in PSN. In this paper, we propose PerContRep, a practical reputation system for pervasive content services that can assist trustworthy content selection and consumption in a pervasive manner. We develop a hybrid trust and reputation management model to evaluate node recommendation trust and content reputation in the context of frequent change of node pseudonyms. Simulations show the advantages of PerContRep in assisting user decisions and its effectiveness with regard to unfair rating attack, collaborative unfair rating attack, on-off attack and conflict behavior attack. A prototype system achieves positive user feedback on its usability and social acceptance.

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Acknowledgments

This work is sponsored by the following grants: the PhD grant (JY0300130104) of Chinese Educational Ministry, the initial grant of Chinese Educational Ministry for researchers from abroad (JY0600132901), and the grant of Shaanxi Province for excellent researchers from abroad (680F1303). A preliminary version of this paper appeared in the Proceedings of the 7th International Conference Ubiquitous Intelligence and Computing 2010 (UIC ’10) [35].

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Authors and Affiliations

  1. The State Key Laboratory of ISN, Xidian University, No. 2 South Taibai Road, Xi’an , 710071, China

    Zheng Yan

  2. Department of Communications and Networking, Aalto University, Otakaari 5, 02150 , Espoo, Finland

    Zheng Yan & Yue Shen

  3. Human Computer Interaction Group, EPFL, Lausanne, Switzerland

    Yu Chen

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  1. Zheng Yan
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  2. Yu Chen
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Correspondence to Zheng Yan.

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Yan, Z., Chen, Y. & Shen, Y. PerContRep: a practical reputation system for pervasive content services. J Supercomput 70, 1051–1074 (2014). https://doi.org/10.1007/s11227-014-1116-y

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