Research On Privacy Protection Scheme Of Shared Housing Rental Based On Blockchain

In recent years,as a new business economic model,the sharing economy has improved people's daily life and greatly promoted the economic development of the society.It has become a hot research field.But while the sharing economy brings us convenience,it also exposes many problems.Existing sharing economy solutions are centralized management,if the platform is attacked,it will cause user data leakage and then cause security problems.The decentralized nature of blockchain technology can bring new ideas to the sharing economy research.People's worries such as the leakage of user information caused by centralized management or the difficulty in protecting consumer rights and interests can be effectively solved.However,the transparent nature of blockchain technology transactions may be detrimental to some users who want to hide their transaction information,so researchers try to use cryptography to protect users' privacy.This article takes shared homestays as an example and proposes a blockchain-based privacy protection scheme for shared housing rentals.Its main contributions are as follows:This article proposes to use blockchain technology to ensure the decentralized nature of the shared leasing solution.Compared with the traditional sharing economy solution,because there is no centralized organization to centrally manage personal information,the solution in this article can protect user data security.In order to deal with the privacy leakage problem caused by the transparency of blockchain transactions,this paper uses the promise scheme and the cryptography technology of zero-knowledge proof to protect the privacy of users.In order to deal with the unexpected situations that this program may encounter in reality,this paper designs a trusted third party to deal with disputes in housing lease transactions.In addition,this article introduces a reputation scoring mechanism using group signature technology,which can not only realize the anonymous score of users,but also curb the problem of malicious user scoring through the traceability of the group signature algorithm.