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A Framework for Reputation Management in Large-Scale Distributed Systems

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5236))

Abstract

The increasing security requirements for distributed collaborations, as well as the trend toward large-scale and remote geographically-dispersed computer systems, have created a growing demand for better trustfulness evaluation of participants involved in the collaboration. We propose a novel local-weighted and global feedback-based reputation framework for reputation management to facilitate secure collaborations in large-scale distributed systems. Different from existing works, we evaluate feedback trustfulness of participants involved in the collaboration in our proposed framework. Experimental results show that our proposed framework is applicable, effective and robust in combating malicious participants and malicious behaviors in large-scale distributed systems such as peer-to-peer networks.

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© 2008 Springer-Verlag Berlin Heidelberg

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Mei, Y., Guan, S., Dong, X., Ma, S., Wang, Z. (2008). A Framework for Reputation Management in Large-Scale Distributed Systems. In: Shen, W., Yong, J., Yang, Y., Barthès, JP.A., Luo, J. (eds) Computer Supported Cooperative Work in Design IV. CSCWD 2007. Lecture Notes in Computer Science, vol 5236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92719-8_41

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  • DOI: https://doi.org/10.1007/978-3-540-92719-8_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92718-1

  • Online ISBN: 978-3-540-92719-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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