Research On Rational And Secure Transaction Mechanism Based On Alliance Chai

At present,there are still some problems in the transaction process,which are mainly manifested as follows:(1)the existence of third parties in the transaction causes the problems of low data security and untrustworthy transactions.Traditional trading methods usually rely on the participation of third-party institutions.However,a truly credible third party is difficult to achieve,and the existence of a centralized institution can cause a single point of failure,which is not conducive to the security of transaction data.(2)The unreasonable pricing method causes the problems of low transaction utility and obvious fluctuation of transaction volume.During the transaction process,some sellers maliciously raise prices for their own immediate interests,which is not conducive to the realization of the overall utility.In addition,the significant fluctuation of transaction volume will not be conducive to the full utilization of resources.(3)The problem of privacy leakage of users in the transaction.The transaction data contains sensitive information of users,which will leak the privacy of users if not protected.How to solve the above three problems is the focus of the research.In this regard,the research content of this thesis is as follows:(1)Dynamic pricing model based on Sarima-Ann and Stackelberg games.To address the problem of unreasonable pricing in transactions,the idea of rationality is introduced to design the utility function of participants to achieve optimal pricing when the utility of transactions is maximized,while solving the problem of obvious fluctuations in transaction volume.In addition,to address the problem of inaccurate demand forecasting in the pricing model,a hybrid forecasting model is constructed based on Sarima and Ann.Finally,simulation experiments are conducted to demonstrate the superiority of the proposed prediction model in terms of prediction accuracy and the effectiveness of the proposed dynamic pricing model in improving transaction utility and equilibrium trading volume.(2)K-anonymous algorithm based on information volume and mean center method.To address the user privacy leakage problem,an improved K-anonymity algorithm is used for privacy protection while improving data availability.Specifically,a new information loss function is constructed.To reduce information loss,Kanonymity is improved in two ways.First,a mean-center method is designed for the 2-means clustering algorithm to select the initial center of mass.In addition,the Kanonymity algorithm of this scheme is designed based on the greedy algorithm and the improved 2-means algorithm.Finally,the effectiveness of the algorithm in improving the 2-means clustering effect and reducing the loss of K-anonymity information has been demonstrated experimentally.(3)Rational and secure energy trading scheme based on consortium blockchain.Aiming at the problems of low data security and low transaction credit in the process of energy trading,we propose a coalition chain-based energy trading scheme,and also apply research content one and research content two in this scheme to execute the dynamic pricing model of this thesis through smart contracts,and solve the privacy leakage problem in the coalition chain through the K-anonymity algorithm of this thesis to guarantee the security and rationality of this energy trading scheme.