Science in China Series F: Information Sciences

, Volume 51, Issue 11, pp 1871–1882

RRM: An incentive reputation model for promoting good behaviors in distributed systems

Article

DOI: 10.1007/s11432-008-0141-y

Cite this article as:
Zhang, H., Duan, H. & Liu, W. Sci. China Ser. F-Inf. Sci. (2008) 51: 1871. doi:10.1007/s11432-008-0141-y

Abstract

Reputation systems represent soft security mechanisms that complement traditional information security mechanisms. They are now widely used in online e-commerce markets and communities in order to stimulate good behaviors as well as to restrain adverse behaviors. This paper analyzes the limitations of the conversational reputation models and proposes an incentive reputation model called the resilient reputation model (RRM) for the distributed reputation systems. The objective of this reputation model is not only to encourage the users to provide good services and, therefore, to maximize the probability of good transaction outcomes, but also to punish those adverse users who are trying to manipulate the application systems. The simulation results indicate that the proposed reputation model (RRM) could effectively resist against the common adverse behaviors, while protecting the profits of sincere users from being blemished by those adversaries.

Keywords

reputation model distributed system trust soft security 

Copyright information

© Science in China Press and Springer-Verlag GmbH 2008

Authors and Affiliations

  1. 1.Tsinghua National Laboratory for Information Science and TechnologyTsinghua UniversityBeijingChina
  2. 2.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  3. 3.Network Research CenterTsinghua UniversityBeijingChina