Score Analysis Based on Homomorphic Encryption and Blockchain
The plain text in traditional grade analysis carries the risk of student data leakage,consequently dampening students'enthusiasm for learning.This paper proposed a grade analysis scheme based on homomorphic encryption and blockchain,and analyzed the malicious behaviors in the analysis process.The scheme randomly mapped scores to high-dimensional vectors,and encrypted the vectors through BGN homomorphism encryption algorithm,enabling the accurate calculation of ranking and analysis metrics directly in the ciphertext domain and completely eliminating the direct mapping between students and scores,guaranteeing the security of the performance data.In addition,the scheme used the blockchain to store data from the analysis process to ensure data authenticity.
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