The Journal of Supercomputing

, Volume 71, Issue 6, pp 2190–2203 | Cite as

Using reputation measurement to defend mobile social networks against malicious feedback ratings

  • Lin Huang
  • Shangguang Wang
  • Ching-Hsien Hsu
  • Juanjuan Zhang
  • Fangchun Yang


The reputation of a particular node/service is determined by the collective feedback ratings obtained from past users, and services’ reputation is vital to service recommendation in mobile social networks. However, existing malicious feedback ratings complicate the accurate measurement of nodes’ reputation scores. In this paper, we introduce an accurate reputation measurement approach, which uses both virgin and non-virgin reputation scores to shield services against malicious feedback ratings. We implement our approach based on the NetLogo simulation environment, and the simulation results show that our approach is capable of measuring node’s reputation more effectively when suffering from malicious feedback ratings compared with other approaches.


Social network Smart computing Mobile computing  Reputation measurement 



The work presented in this study is supported by NSFC (61202435), the Natural Science Foundation of Beijing under Grant No. 4132048, and NSFC (61472047).


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Lin Huang
    • 1
  • Shangguang Wang
    • 1
  • Ching-Hsien Hsu
    • 2
  • Juanjuan Zhang
    • 1
  • Fangchun Yang
    • 1
  1. 1.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Department of Computer Science and Information EngineeringChung Hua UniversityHsinchu 707Taiwan

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