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Zero-Knowledge Proof Intelligent Recommendation System to Protect Students’ Data Privacy in the Digital Age
Published in Applied Artificial Intelligence, 2023
Wenjing Yin
By incorporating the preprocessing algorithm, which is independent of the message being signed and employs modular exponentiation, the proposed scheme offers significant advantages in terms of computational efficiency and signature generation optimization. These optimizations reduce the computational burden and allow the system to utilize idle computer time effectively. Moreover, the scheme ensures the security and integrity of the generated signatures by employing a large number and random exponent in the modular exponentiation operation.