Enhancing blockchain-based audit data privacy via hybrid chaotic and RSA encryption: mechanism design and performance evaluation

Abstract This paper focuses on the research of auditing data privacy protection mechanism under blockchain technology and constructs an efficient computational model. The model is based on the distributed ledger characteristic of blockchain, and ensures the data tampering and traceability by optimizing the consensus mechanism. In the proposed model, the consensus mechanism is optimized by utilizing the tamper proof properties of blockchain. By building a multi node collaborative framework that supports batch auditing, this model improves data synchronization efficiency. The focus of optimization is to reduce the consensus reaching time and thus improve the overall performance and scalability of the blockchain network. At the same time, smart contracts are utilized to realize automated data sharing and auditing processes to improve auditing efficiency. In terms of data encryption algorithm design, a chaotic system based on RSA algorithm encryption is designed by combining the randomness and complexity of chaos theory to further strengthen the security of data. The results show that the model in this paper can make the ciphertext image uncorrelated in all directions and improve the encryption strength of the image. The method of this paper can make the audit data information on the degree of privacy protection and the complexity of the ciphertext image increase up to about 50% and 45% than the comparison method; the encryption and decryption time of the data is reduced by about 20 s. In addition, the running time of the stages of this paper’s algorithm increases with the increase in the number of concurrent requests and this paper’s system can support concurrency of 500 users at the same time and make its throughput up to 583.49/s.