Read e-book online Advances in security and payment methods for mobile commerce PDF

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

ISBN-10: 1591403456

ISBN-13: 9781591403456

ISBN-10: 1591403464

ISBN-13: 9781591403463

ISBN-10: 1591403472

ISBN-13: 9781591403470

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The Basic Metric We first consider the basic form of the general metric as shown below by turning off the transaction context factor (TF(u,i)=1) and the community context factor (α = 1 and β = 0). It computes the trust value of a peer u by a weighted average of the amount of satisfaction peer u receives for each transaction. I (u ) T (u ) = ∑ S (u, i) * Cr ( p(u, i)) i =1 I (u ) ∑ Cr ( p(u, i)) i =1 The feedback in terms of amount of satisfaction is collected by a feedback system. PeerTrust uses a transaction-based feedback system, where the feedback is bound to each transaction.

2001). Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms. 3rd ACM Conference on Electronic Commerce. Dellarocas, C. (2003). The digitization of word-of-mouth: Promise and challenges of online reputation mechanism. Management Science, 49(10), 1407-1424. , & Resnick, P. (2001). The social cost of cheap pseudonyms. Journal of Economics and Management Strategy, 10(1), 173-199. W. (2000). E-commerce trust metrics and models. IEEE Internet Computing, 4(2), 36-44. , & Kuwabara, K.

We use a binary feedback system where a peer rates the other peer either 0 or 1 according to whether the transaction is satisfactory. The number of transactions each peer has during the latest time window, denoted by I, is set to be 100 for all peers. For comparison purpose, we compare PeerTrust metrics to the conventional approach, referred to as Conventional, in which an average of the ratings is used to measure the trustworthiness of a peer without taking into account the credibility factor.

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Advances in security and payment methods for mobile commerce by Wen Chen Hu; Chung-Wei Lee; Weidong Kou

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