Advances in Security and Payment Methods for Mobile Commerce - download pdf or read online

By Wen-Chen Hu

ISBN-10: 1591403456

ISBN-13: 9781591403456

ISBN-10: 1591403472

ISBN-13: 9781591403470

Lately, the emergence of instant and cellular networks has made attainable the admission of digital trade to a brand new software and examine topic: cellular trade, outlined because the alternate or trading of commodities, providers, or info on the net by using cellular hand held units. in exactly many years, cellular trade has emerged from nowhere to turn into the most well liked new pattern in enterprise transactions. besides the fact that, the prosperity and recognition of cellular trade should be dropped at a better point provided that info is securely and competently exchanged between finish platforms (mobile clients and content material providers). Advances in protection and check equipment for cellular trade comprises fine quality learn papers and commercial and perform articles within the parts of cellular trade safeguard and money from lecturers and industrialists. It covers learn and improvement result of lasting importance within the concept, layout, implementation, research, and alertness of cellular trade protection and fee.

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In a community that has a reputation system, the source peer selects the peer with the highest trust value to perform the transaction. Otherwise it randomly selects a peer. The two peers then perform the transaction and the transaction succeeds only if the selected peer cooperates. The experiment is performed in both non-collusive setting and collusive setting. We show the benefit of utilizing a reputation based trust system that uses conventional and PeerTrust metrics compared to a community without any trust system.

Uses a time-based inductive machine to capture users’ behavior patterns that are expected to provide prediction for anomaly events. Applies instance based learning to learn users’ normal behavior from temporal sequence data. Trains the neural net on a set of representative commands sequences of a user. The variance of the user behavior from his or her profile can predict intrusion. Trains the support vector machine on different types of attacks and normal data, then separates normal and intrusive patterns.

Dellarocas, C. (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.

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Advances in Security and Payment Methods for Mobile Commerce by Wen-Chen Hu


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