Abstract:
E-commerce has become an essential part of our life allowing us to buy products, request services, and transfer money easily with a press of a button. In general, people ...Show MoreMetadata
Abstract:
E-commerce has become an essential part of our life allowing us to buy products, request services, and transfer money easily with a press of a button. In general, people consider various factors of a product like price, quality, etc. before making purchases. When it comes to choosing one of the sellers having a same product with similar price, customers pay attention to each seller's reputation or the degree of trust to the seller. On the existing online payment systems, however, information such as reputation could be manipulated by the malicious (including the advertisers) giving extremely high or low ratings on purpose. Furthermore, as each individual has different criteria on ways to evaluate, the result value of reputation could be non-objective resulting in unreliability of data.In this paper, we propose Reptor, a model for calculation of trust and reputation with the values stored on blockchain-based payment system's ledger. Reptor is applied on blockchain-based online payment system which has a characteristic of immutability. Reptor normalizes the evaluations given by each user based on personal evaluation criteria changing over time. In addition, Reptor derives reputation of users and trust of one to another by applying psychological factors. Simulation results show that our Reptor is able to derive robust and objective values from immutable transactions on blockchain-based online payment system.
Published in: 2018 International Conference on Information and Communication Technology Convergence (ICTC)
Date of Conference: 17-19 October 2018
Date Added to IEEE Xplore: 18 November 2018
ISBN Information:
Print on Demand(PoD) ISSN: 2162-1233