LRChain:data protection and sharing method of learning archives based on consortium blockchain

Learning archives management in traditional systems faces challenges such as inadequate security, weak tamper resistance, and limited sharing capabilities. To address these issues, this paper proposes LRChain, a method based on consortium blockchain, for lifelong learning archives data protection and sharing. LRChain employs a combination of on-chain and off-chain cooperative storage using a consortium chain and inter planetary file system(IPFS) to enhance data security and availability. It also enables fine-grained verification of learning archives through selective disclosure principles, ensuring privacy protection of sensitive data. Furthermore, an attribute-based encryption(ABE) algorithm is utilized to establish authorized access control for learning archives, facilitating safe and trusted sharing. Experimental evaluations and security analyses demonstrate that this method exhibits decentralization, strong security, tamper resistance, and performs well, effectively meeting the requirements for secure sharing of learning archive data.