By Wen-Chen Hu
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 details on the web by using cellular hand-held units. in exactly many years, cellular trade has emerged from nowhere to develop into the most popular new development in enterprise transactions. notwithstanding, the prosperity and recognition of cellular trade should be delivered to the next point provided that info is securely and thoroughly exchanged between finish structures (mobile clients and content material providers). Advances in defense and check equipment for cellular trade comprises fine quality study papers and business and perform articles within the parts of cellular trade protection and check from lecturers and industrialists. It covers study and improvement result of lasting importance within the concept, layout, implementation, research, and alertness of cellular trade protection and check.
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Extra resources for Advances in Security and Payment Methods for Mobile Commerce
Is prohibited. Reputation and Trust 25 Transaction Context Factor Transaction context is another important factor when aggregating the feedback from each transaction as we have discussed earlier because of the context and location awareness of mobile transactions. For example, when a mobile user is trying to compare potential services, the previous feedback from a mobile user who was using the same device and was in the same location to access the service should be weighted more than those from a regular user accessing the service from a desktop computer at home.
Table 2 shows the main idea of each anomaly detection method. , 1997; Hofmeyr, Forrest & Somayaji, 1998), genetic algorithm (Crosbie & Spafford, 1995), data mining (Lee, 1999), and so forth. Another interesting method is honey pot. It traps tempt intruders into areas which appear attractive, worth investigating and easy to access, taking them away from the really sensitive areas of the systems (The Honeynet Project, 2003). Table 1. Misuse detection methods illustration Misuse detection methods Rule-based expert system State transition analysis Model-based Pattern matching Conditional probability Keystroke monitoring Information retrieval Main idea If-then rules sets.
Is prohibited. Reputation and Trust 27 a negative format, a numeric rating or a mixed format. S(u,i) is a normalized amount of satisfaction between 0 and 1 that can be computed based on the feedback. Both the feedback and the number of transactions are quantitative measures and can be collected automatically. Different from these two, the third parameter — credibility of feedback — is a qualitative measure and needs to be computed based on past behavior of peers who file feedback. Different approaches can be used to determine the credibility factor and compute the credible amount of satisfaction.
Advances in Security and Payment Methods for Mobile Commerce by Wen-Chen Hu