This study proposes an optimization scheme for green procurement e-tendering system integrating distributed processing and cryptography theory, aiming to improve process efficiency and enterprise sustainability through data analysis model. The e-procurement business platform constructed based on the national bidding specification integrates procurement plan management, supplier evaluation and expert collaboration modules, and introduces the threshold secret sharing mechanism to reconfigure the security architecture, and realizes the distributed storage and disaster recovery of bids through the (t, n) threshold policy. The encryption time of the proposed threshold secret sharing algorithm is 262ms and decryption time is 362ms under 50MB data, which is significantly better than 1428ms and 1545ms of traditional RSA and 1297ms and 1549ms of ECC, and real-time performance is improved by more than 80%. In the performance evaluation, homomorphic encryption performs optimally with 93.51% resource utilization and 95.85% data accuracy, while data anonymization has the shortest processing time of 102ms but lower resource utilization of 74.96%. Through the empirical application of 198 enterprise users, the optimized platform has significantly increased efficiency from 16.67% to 58.08%, cost savings from 10.10% to 47.98%, and system stability (61.62% very stable) and user satisfaction (71.72% very satisfied).
