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AdContRep: A Privacy Enhanced Reputation System for MANET Content Services

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Ubiquitous Intelligence and Computing (UIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6406))

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Abstract

Mobile ad hoc network (MANET) has become a practical platform for pervasive social networking. In such a system, various content information flows in terms of content query and response. To which extent should mobile users trust it, whilst user privacy can also be preserved? For solving this problem, we propose AdContRep, a privacy enhanced reputation system for MANET content services. We develop a novel hybrid trust model to evaluate node recommendation trust and content reputation in the context of frequent change of node pseudonyms. The evaluation is based on ephemeral node experiences and/or historical node recommendation behaviors. Our simulation results show the model’s effectiveness with regard to unfair rating attack and on-off attack. A prototype implementation based on Nokia N810 tablets further proves the concept of AdContRep design.

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Author information

Authors and Affiliations

  1. Nokia Research Center, Helsinki, Finland

    Zheng Yan

  2. Aalto University, Espoo, Finland

    Yu Chen

Authors
  1. Zheng Yan
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  2. Yu Chen
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Editor information

Editors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, 710072, Xi’an, China

    Zhiwen Yu  & Xingshe Zhou  & 

  2. Institute ofTechnology, Faculty of Engineering and Applied Science, University of Ontario, L1H 7K4, Oshawa, ON, Canada

    Ramiro Liscano

  3. Department of Computer Science, University of Massachusetts Lowell, 01854, Lowell, MA, USA

    Guanling Chen

  4. Telecommunication Network and Services Department, Institute TELECOM SudParis, 9 rue Charles Fourier, 91011, Evry Cedex, France

    Daqing Zhang

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Yan, Z., Chen, Y. (2010). AdContRep: A Privacy Enhanced Reputation System for MANET Content Services. In: Yu, Z., Liscano, R., Chen, G., Zhang, D., Zhou, X. (eds) Ubiquitous Intelligence and Computing. UIC 2010. Lecture Notes in Computer Science, vol 6406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16355-5_33

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  • DOI: https://doi.org/10.1007/978-3-642-16355-5_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16354-8

  • Online ISBN: 978-3-642-16355-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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