Improve the authentication of agricultural food supply chain using Permutations Supersonic Ligero Elliptic Signature Algorithm

Blockchain technology improves transparency and security in agricultural food supply chains (FSC) but faces challenges related to data privacy and emerging computational threats. These issues limit the efficiency and security of permissioned blockchain systems. To address these, a novel cryptographic framework, Permutations Supersonic Ligero Elliptic eXtended Merkle Curve Digital Signature Algorithm, is proposed. In permissioned blockchain-based FSC, metadata exposure and cross-entity data aggregation create privacy risks, allowing adversaries to infer sensitive operational insights by analyzing transaction patterns and correlating data fragments across entities. To mitigate this, the Permutations Supersonic Ligero Fractal (PSLF) is introduced, which ensures transparent, scalable, and compact proof generation, while preserving metadata privacy and preventing adversaries from reconstructing sensitive insights. Also enforces privacy-preserving protocols to limit data exposure across multiple participants and prevent leakage. Additionally, quantum threats, specifically through Shor’s algorithm, threaten the security of cryptographic systems used in FSC. To counter this, the Elliptic eXtended Merkle Curve Digital Signature Algorithm (EXMC-DSA) is presented, which combines quantum-resistant key exchange and signature schemes, ensuring robust security against quantum attacks. This hybrid cryptographic approach ensures both current efficiency and future-proof resilience. As a result, the proposed model outperforms the existing methods in terms of low execution time, low proof generation, and verification time.