Paper Info
Title
An optimized transaction verification method for trustworthy blockchain-enabled IIoT
Abstract
The blockchain technology is one of the hottest research fields in recent years, and it can provide a new security solution for data transmission and storage under trust-free environments. The distributed structure of blockchain is naturally suitable for the Industrial Internet of Things (IIoT), which can be used to build distributed trustworthy IIoT with high security. The transaction database is the most important security component in the blockchain-enabled IIoT systems. Each valid transaction must be recorded in the database on the long connected blockchain. Merkle tree is designed for the transaction verification and it can guarantee the data integrity and security. Therefore, the Merkle tree has the same and fixed verification time for every transaction. Due to the human elements, only a few transactions will be verified frequently in some real scenarios. The current Merkle tree storage structure can not improve the verification efficiency for transactions that require frequent verification in IIoT systems with heterogeneous Devices. To tackle the issue, this paper proposes an optimized Merkle tree structure for efficient transaction verification in trustworthy blockchain-enabled IIoT systems. This work first analyzes the current building method and verification mechanism of the Merkle tree structure. Then we propose the optimized Merkle tree structure and its construction and verification. Finally, the superiority of our proposed method is proved through extensive experiments. The new Merkle tree structure is more efficient for verifying blockchain transactions for trustworthy blockchain-enabled IIoT systems.
Year
DOI
Venue
2021
10.1016/j.adhoc.2021.102526
Ad Hoc Networks
Keywords
DocType
Volume
Blockchain technology,Security,Human elements,Industrial Internet of Things
Journal
119
ISSN
Citations 
PageRank 
1570-8705
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
jin wang124336.79
Boyang Wei200.34
Jingyu Zhang31211.84
Xiaofeng Yu4102.04
Pradip Kumar Sharma521923.83