Personal Credit Information Privacy Protection Based on Homomorphic Encryption Algorithm
AUTHORS
Nazlie Shahmir, School of Information Technology, Deakin University, Geelong, Australia
Nasim Muhammad, School of Information Technology, Deakin University, Geelong, Australia
ABSTRACT
With the continuous development of information technology, the construction of digital government is also accelerating. In the construction of digital government, smart contracts and homomorphic encryption technology of blockchain are combined. Based on the smart contract technology of the blockchain, this paper proposes a personal credit reporting privacy protection plan, which specifically includes the credit reporting system model and smart contract design. At the same time, it analyzes the specific operations such as adding access nodes and setting node permissions involved in this project. Through multi-party protection of personal privacy of credit investigation, automatic matching of user conditions for credit investigation access is realized. Since the solution in this article involves many contracts, we will further optimize the overall operating efficiency of the solution by strengthening the privacy protection during the message transfer process and improving the execution efficiency of the homomorphic encryption algorithm.
KEYWORDS
Blockchain, Smart contract, Paillier homomorphic encryption algorithm, Personal credit information, Privacy protection
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