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 learn topic: cellular trade, outlined because the alternate or trading of commodities, providers, or details on the net by using cellular hand-held units. in precisely many years, cellular trade has emerged from nowhere to develop into the most popular new pattern in company transactions. although, the prosperity and recognition of cellular trade should be delivered to the next point provided that details is securely and thoroughly exchanged between finish platforms (mobile clients and content material providers). Advances in safeguard and cost equipment for cellular trade contains top quality learn papers and commercial and perform articles within the parts of cellular trade defense and money from teachers and industrialists. It covers learn and improvement result of lasting value within the concept, layout, implementation, research, and alertness of cellular trade safeguard and check.
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Additional resources for Advances in Security and Payment Methods for Mobile Commerce
GPRS (general packet radio service) /WLAN). In GSM circuit-switched data (CSD), GPRS and EDGE (enhanced data rates for global evolution), the A5 algorithm is applied to encrypt the radio link data and the A3/A8 algorithm is applied for the authentication. There exists a common weakness that has been reported that both A5 encryption algorithm and A3/A8 authentication algorithm can be easily broken. This means that the attacker can calculate the private key of a consumer and duplicate the SIM (subscriber identity module) card.
In non-collusive setting, malicious peers cheat during transactions and give dishonest ratings to other peers, that is, give bad rating to a peer who cooperates and give good rating to a peer who cheats. A malicious peer may choose to occasionally cooperate in order to confuse other peers and fool the system. We use mrate to model the rate that a malicious peer acts maliciously. We have one experiment varying mrate to show its effect on trust computation effectiveness, and otherwise mrate is set to 100%.
Further, participants can amount attacks on the trust management system by distributing tampered with trust information. PeerTrust tries to minimize such security weaknesses. For example, the use of the credibility factor of the feedback source can be seen as an effective step towards handling fake or misleading ratings. The ability to incorporate various transaction and community contexts can also act against some of the subtle attacks. Furthermore, by combining the proposed trust metric and the secure trust data transmission built on top of public key cryptographic algorithms, it prevents distribution of tampered with trust information and man in the middle attack.