【摘要】 传统的明文形式成绩分析存在学生个人数据泄露的风险，影响学生的学习积极性。论文提出了一种基于同态加密和区块链的成绩分析方案，并分析其中的恶意行为。方案将分数随机映射到高维向量，通过BGN同态加密算法加密向量，使得能够在密文域中直接实现排名和分析指标的精确计算，并且完全消除了学生和分数之间的直接映射，保证了成绩数据的安全性。此外，利用区块链存储分析过程中的数据，保证了数据的真实性。更多还原

【Abstract】 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.更多还原