Information sharing in cooperative networks: A generic trustworthy issue
Author | Jiang, Chunxiao |
Author | Ren, Yong |
Author | Chen, Hsiao-Hwa |
Author | Moshen, Guizani |
Available date | 2021-09-01T10:02:44Z |
Publication Date | 2016 |
Publication Name | 2016 IEEE International Conference on Communications, ICC 2016 |
Resource | Scopus |
Abstract | In a cooperative network, users share information with each other to achieve a common target. Due to the concerns of privacy and cost, users may be reluctant to share genuine information with each other, which incurs the information trustworthiness problem. Most of the existing research attempts have proposed various mechanisms targeting to enhance the information credibility in various scenarios. However, the users' information sharing inclinations have not been well considered and modeled, which closely determine the information credibility in the network. In this paper, we study a trustworthy situation in cooperative networks and utilize the concept of reputation to model users' behaviors. Specifically, we propose two reputation learning methods based on both the peer-to-peer Bayesian learning and the social non-Bayesian learning models, and also propose a trustworthiness learning method based on the posterior estimation. Finally, simulations are conducted to verify the correctness and effectiveness of our theoretical analysis. 2016 IEEE. |
Sponsor | This work was supported by the NSFC China under projects 61371079, 61271267 and 91338203, and a China Postdoctoral Science Foundation funded project. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Information analysis Learning systems Bayesian learning Cooperative networks Information credibilities Information sharing Learning methods Peer to peer Posterior estimations Information dissemination |
Type | Conference Paper |
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Electrical Engineering [2616 items ]