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By Wen Chen Hu; Chung-Wei Lee; Weidong Kou

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An effective trust metric has to differentiate dishonest feedback from honest ones and be robust against various malicious manipulations of participants. • Context and location awareness. Another important consideration is the context and location awareness, as many of the applications are sensitive to the context or the location of the transactions. For example, the functionality of the transaction is an important context to be incorporated into the trust metric. com may be trustworthy on selling books but not on providing medical devices.

Mobile network evolution: A revolution on the move. IEEE Communications Magazine, 40(4), 104-111. WAP (Wireless Application Protocol). (2003). Open Mobile Alliance Ltd. org/ The Yankee Group. (2002). S. enterprises plan to implement a wireless/mobile solution by 2003. jsp? htm Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Reputation and Trust 19 Chapter II Reputation and Trust Li Xiong, Georgia Institute of Technology, USA Ling Liu, Georgia Institute of Technology, USA Abstract This chapter introduces reputation systems as a means of facilitating trust and minimizing risks in m-commerce and e-commerce in general.

The experiments proceeds as peers perform random transactions with each other. After 6,400 transactions in the community, that is, an average of 100 transactions for each peer, a good peer is selected to evaluate the trustworthiness of all other peers. Each experiment is performed under both non-collusive and collusive settings described earlier. We compute the trust computation error as the root-mean-square (RMS) of the computed trust value of all peers and the actual likelihood of peers performing a satisfactory transaction, which is 1 for good peers and (1-mrate) for malicious peers.

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