By using Pedersen's verifiable secret sharing scheme and the theory of crossvalidation, we propose an a-nonymous payment protocol which have following features: protecting theconfidentiality of sensitive payment i...By using Pedersen's verifiable secret sharing scheme and the theory of crossvalidation, we propose an a-nonymous payment protocol which have following features: protecting theconfidentiality of sensitive payment information from spying by malicioushosts; using a trustedthird party in a minimal way; verifying the validity of the share by the merchant; allowing agent toverify that the product which it is a-bout to receive is the one it is paying for; keeping thecustomer anonymous.展开更多
Because it is quite unsatisfactory that in anonymous off-line payment schemes the multiple spending of coins can only be detected but not prevented,a model and protocols of off-line electronic payment system preventin...Because it is quite unsatisfactory that in anonymous off-line payment schemes the multiple spending of coins can only be detected but not prevented,a model and protocols of off-line electronic payment system preventing double-spending and based on Mobile Agents are presented in this paper,which improve the off-line payment scheme based on hardware observer^[1].Because the hardware device called Observer in[2] is replaced by the software object of Mobile Agents which is called Mobile Observer,thus customers don''''''''t need to worry about the bottle-neck and vulnerability owing to all the interactions to a single device.This paper discusses the life recycle of the Mobile Observer and the security problems of the Mobile Agents system.In addition,this model presents a recovery mechanism for the failure of the customer end system.Hence,the sceurity,robustness,practicality of the model are higher than any one of the previous systems.展开更多
In this paper, we study the dynamics of competition in the payment card market. This is done through a multi-agent based model, which captures explicitly the commercial transactions at the point of sale between consum...In this paper, we study the dynamics of competition in the payment card market. This is done through a multi-agent based model, which captures explicitly the commercial transactions at the point of sale between consumers and mer-chants. Through simulation, we attempt to model the demand for payment instruments on both sides of the market. Constrained by this complex demand, a Generalised Population Based Incremental Learning (GPBIL) algorithm is applied to find a profit-maximizing strategy, which in addition has to achieve an average number of card transactions. In the present study we compare the performance of a profit-maximizing strategies obtained by the GPBIL algorithm versus the performance of randomly selected strategies. We found that under the search criteria used, GPBIL was capable of improving the price structure and price level over randomly selected strategies.展开更多
This paper investigates the structure of the payment card market, with consumers and merchants basing their subscription decisions on different information sets. We find that the market structure depends crucially on ...This paper investigates the structure of the payment card market, with consumers and merchants basing their subscription decisions on different information sets. We find that the market structure depends crucially on the information set on which consumers and merchants base their subscription decisions. In the studied case, we observe that a market with few cards dominating only emerges when decisions are based on very limited information. Under the same conditions using a complete information set, all cards survive in the long run. The use of an agent-based model, focusing on the interactions between merchants and consumers, as a basis for subscription decisions allows us to investigate the dynamics of the market and the effect of the indirect network externalities rather than investigating only equilibrium outcomes.展开更多
文摘By using Pedersen's verifiable secret sharing scheme and the theory of crossvalidation, we propose an a-nonymous payment protocol which have following features: protecting theconfidentiality of sensitive payment information from spying by malicioushosts; using a trustedthird party in a minimal way; verifying the validity of the share by the merchant; allowing agent toverify that the product which it is a-bout to receive is the one it is paying for; keeping thecustomer anonymous.
文摘Because it is quite unsatisfactory that in anonymous off-line payment schemes the multiple spending of coins can only be detected but not prevented,a model and protocols of off-line electronic payment system preventing double-spending and based on Mobile Agents are presented in this paper,which improve the off-line payment scheme based on hardware observer^[1].Because the hardware device called Observer in[2] is replaced by the software object of Mobile Agents which is called Mobile Observer,thus customers don''''''''t need to worry about the bottle-neck and vulnerability owing to all the interactions to a single device.This paper discusses the life recycle of the Mobile Observer and the security problems of the Mobile Agents system.In addition,this model presents a recovery mechanism for the failure of the customer end system.Hence,the sceurity,robustness,practicality of the model are higher than any one of the previous systems.
文摘In this paper, we study the dynamics of competition in the payment card market. This is done through a multi-agent based model, which captures explicitly the commercial transactions at the point of sale between consumers and mer-chants. Through simulation, we attempt to model the demand for payment instruments on both sides of the market. Constrained by this complex demand, a Generalised Population Based Incremental Learning (GPBIL) algorithm is applied to find a profit-maximizing strategy, which in addition has to achieve an average number of card transactions. In the present study we compare the performance of a profit-maximizing strategies obtained by the GPBIL algorithm versus the performance of randomly selected strategies. We found that under the search criteria used, GPBIL was capable of improving the price structure and price level over randomly selected strategies.
文摘This paper investigates the structure of the payment card market, with consumers and merchants basing their subscription decisions on different information sets. We find that the market structure depends crucially on the information set on which consumers and merchants base their subscription decisions. In the studied case, we observe that a market with few cards dominating only emerges when decisions are based on very limited information. Under the same conditions using a complete information set, all cards survive in the long run. The use of an agent-based model, focusing on the interactions between merchants and consumers, as a basis for subscription decisions allows us to investigate the dynamics of the market and the effect of the indirect network externalities rather than investigating only equilibrium outcomes.
