This paper presents a symmetric-key based privacy-preserving scheme for mining support counts to enhance efficiency while protecting user data. The proposed method avoids exponential or modular algorithms, utilizing symmetric-key encryption to achieve better performance compared to previous public-key approaches. The protocol is designed for practical implementation, ensuring correctness and privacy for users' personal information during data mining.
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