Design Of Decentralized Data Storage And Retrieval Scheme For IPFS Storage Environment

With the development of network technology and the popularization of terminal equipment,the explosive growth of global data makes it difficult to custody all kinds of data,and there is a threat of leakage.In order to save local storage space,more and more companies outsource data to cloud servers for storage and sharing.However,cloud servers are a semi-trusted entity that will always spy on data information intentionally or unintentionally,so data management is facing severe challenges.In order to ensure the security of the data,it is necessary to encrypt the data before storage,and to ensure the integrity and accuracy of the data when sharing the data.In fact,the existing solutions still have the following problems:First,due to the limited computing and resource processing capabilities of cloud servers,the processing and storage of massive amounts of data will reduce the storage efficiency of the system.Second,when encrypted data is shared,it may cause the problems such as transmission delay,low efficiency,and poor service quality for end users.Third,the cloud servers is a centralized entity.The entire cloud storage system will have security risks once a single cloud server is unavailable,which will cause problems such as data loss.Based on the above problems,this paper proposes three decentralized data storage and retrieval schemes for electronic data in medical,insurance and banking.This paper achieved the following results:(1)Aiming at the problems of data abuse and privacy leakage faced by electronic medical data in the storage process,we proposed a blockchain-based electronic medical data secure storage and retrieval scheme in IPFS.This scheme achieved fine-grained access control of data and ensured the decentralized storage of data by using blockchain technology,IPFS storage environment,and attribute encryption system.In addition,blockchain technology was used to record the source and trace of the data to ensure the safe storage and dynamic management of the data.This scheme was safe under the attack of adaptive keyword selection.Performance analysis and real data set simulation experiments also showed that the scheme was efficient and feasible.(2)In response to data leakage and denial in insurance business,we proposed a non-repudiation decentralized storage and ciphertext update scheme for insurance data.In this scheme,transaction confirmation was carried out on the blockchain.The insurance business take effect after confirming on the blockchain,which effectively prevents the employees or customers of the insurance company from denying claims during claims.The encrypted insurance data was stored on IPFS,ensuring the decentralized storage of insurance data.At the same time,the content of the claims would be updated by customers and staff to the insurance business information to facilitate later query.The safety proof shows that the proposed scheme was safe and feasible.Performance analysis and simulation experiments on the authenticity data set showed that the scheme was efficient and feasible.(3)In response to the leakage of identity information and business information caused by banks when handling business,we proposed a searchable banking data storage scheme based on attribute encryption.This scheme ensured the security of identity information by using hash lists to generate unique hash lists of identity information for people with different identities in the bank.At the same time,attribute-based encryption technology was used to realize fine-grained access control of business data and improve data security.Secondly,the encrypted business data was stored on the distributed IPFS.The data storage and retrieval process was recorded on the blockchain to ensure the safe storage of data.Finally,the efficiency analysis showed that our scheme was efficient and feasible,and this scheme very suitable for application in actual scenarios.