Countering Feedback Sparsity and Manipulation in Reputation Systems

Li Xiong; Ling Liu; Mustaque Ahamad

3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin

Research Article

Countering Feedback Sparsity and Manipulation in Reputation Systems

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/COLCOM.2007.4553831,
    author={Li Xiong and Ling Liu and Mustaque Ahamad},
    title={Countering Feedback Sparsity and Manipulation in Reputation Systems},
    proceedings={3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin},
    publisher={IEEE},
    proceedings_a={COLLABORATECOM},
    year={2008},
    month={6},
    keywords={Collaboration  Computer science  Consumer electronics  Control systems  Educational institutions  Inference algorithms  Mathematics  Performance evaluation  Pollution measurement  State feedback},
    doi={10.1109/COLCOM.2007.4553831}
}

Li Xiong
Ling Liu
Mustaque Ahamad
Year: 2008
Countering Feedback Sparsity and Manipulation in Reputation Systems
COLLABORATECOM
IEEE
DOI: 10.1109/COLCOM.2007.4553831

Li Xiong¹^,*, Ling Liu²^,*, Mustaque Ahamad²^,*

1: Department of Mathematics and Computer Science, Emory University
2: College of Computing, Georgia Institute of Technology

*Contact email: lxiong@mathcs.emory.edu, lingliu@cc.gatech.edu, mustaq@cc.gatech.edu

Abstract

Reputation systems provide a promising way for building trust through social control in collaborative communities by harnessing the community knowledge in the form of feedback. However, reputation systems also introduce vulnerabilities due to potential manipulations by dishonest or malicious players. In this paper, we focus on two closely related problems - feedback sparsity and potential feedback manipulations - and propose a feedback similarity based inference framework. We perform extensive evaluations of various algorithmic components of the framework and evaluate their effectiveness on countering feedback sparsity in the presence of feedback manipulations.

Keywords: Collaboration Computer science Consumer electronics Control systems Educational institutions Inference algorithms Mathematics Performance evaluation Pollution measurement State feedback

Published: 2008-06-27
Publisher: IEEE
Modified: 2011-07-20

: http://dx.doi.org/10.1109/COLCOM.2007.4553831