Efficient Outsourced Decryption System with Attribute-Based Encryption for Blockchain-Based Digital Asset Transactions
Rui Jin, Yuxuan Pan, Junjie Li, Yu Liu, Daquan Yang, Mengmeng Zhou, Konglin Zhu · Symmetry · 2025
The rapid expansion of blockchain-based digital asset trading raises new challenges in security, privacy, and efficiency. Although traditional attribute-based encryption (ABE) provides fine-grained access control, it imposes considerable computational overhead and introduces additional vulnerabilities when decryption is outsourced. To address these limitations, we present EBODS, an efficient outsourced decryption framework that combines an optimized ABE scheme with a decentralized blockchain layer. By applying policy matrix optimization and leveraging edge decryption servers, EBODS reduces the public key size by 8% and markedly accelerates computation. Security analysis confirms the strong resistance of EBODS to collusion attacks, making it suitable for resource-constrained digital asset platforms.