Classification and Performance Evaluation of Reputation-Based Trust Model in Ad-hoc Networks 


Vol. 16,  No. 2, pp. 143-150, Apr.  2009
10.3745/KIPSTC.2009.16.2.143


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  Abstract

In trust-based networks, it is very important how to decide a node is trustworthy when one node performs communications with other node. In current networks based on trust, a node creates a new trust value from observation and then establishes an intercommunication path through the process of evaluating a targeted communication node. In our paper, we propose four trust models in which a new node enters a cluster and finds a target node to create a communication in ad-hoc networks. The proposed models have been classified according to the existence of reputation server and the trust evaluation functions. Through the proposed model, we found that new node finds target node more quickly in which there exists a reputation server in the cluster and considers neighbor node’s recommendation as well as own experience information when calculates trust values. As our performance analysis, we focus the communication delay time to generate a final trust value for each trust model.

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[IEEE Style]

S. S. Park, J. H. Lee, T. M. Chung, "Classification and Performance Evaluation of Reputation-Based Trust Model in Ad-hoc Networks," The KIPS Transactions:PartC, vol. 16, no. 2, pp. 143-150, 2009. DOI: 10.3745/KIPSTC.2009.16.2.143.

[ACM Style]

Seong Soo Park, Jong Hyouk Lee, and Tai Myoung Chung. 2009. Classification and Performance Evaluation of Reputation-Based Trust Model in Ad-hoc Networks. The KIPS Transactions:PartC, 16, 2, (2009), 143-150. DOI: 10.3745/KIPSTC.2009.16.2.143.

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