A Novel High-Efficiency Transaction Verification Scheme for Blockchain Systems.

Jingyu Zhang; Pian Zhou; Jin Wang; Alfarraj, Osama; Singh, Saurabh; Min Zhu

Blockchain can realize the reliable storage of a large amount of data that is chronologically related and verifiable within the system. This technology has been widely used and has developed rapidly in big data systems across various fields. An increasing number of users are participating in application systems that use blockchain as their underlying architecture. As the number of transactions and the capital involved in blockchain grow, ensuring information security becomes imperative. Addressing the verification of transactional information security and privacy has emerged as a critical challenge. Blockchain-based verification methods can effectively eliminate the need for centralized third-party organizations. However, the efficiency of nodes in storing and verifying blockchain data faces unprecedented challenges. To address this issue, this paper introduces an efficient verification scheme for transaction security. Initially, it presents a node evaluation module to estimate the activity level of user nodes participating in transactions, accompanied by a probabilistic analysis for all transactions. Subsequently, this paper optimizes the conventional transaction organization form, introduces a heterogeneous Merkle tree storage structure, and designs algorithms for constructing these heterogeneous trees. Theoretical analyses and simulation experiments conclusively demonstrate the superior performance of this scheme. When verifying the same number of transactions, the heterogeneous Merkle tree transmits less data and is more efficient than traditional methods. The findings indicate that the heterogeneous Merkle tree structure is suitable for various blockchain applications, including the Internet of Things. This scheme can markedly enhance the efficiency of information verification and bolster the security of distributed systems.

INFORMATION technology security; DATA privacy; BLOCKCHAINS; INTERNET of things; SECURITY systems; BIG data

Computer Modeling in Engineering & Sciences (CMES), 2024, Vol 139, Issue 2, p1613

1526-1492

Academic Journal

10.32604/cmes.2023.044418