Journal
COMPUTER NETWORKS
Volume 202, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.comnet.2021.108588
Keywords
Consistency of digital assets; Association between objects; Partial order; Blockchain
Categories
Funding
- National Natural Science Foundation, China [61772316]
- major Science and Technology Innovation of Shandong Province [2019JZZY010109, 2020CXGC010106]
- Industrial Experts Program of Spring City
- National Social Science Fund [20BJY131]
- Special Project of Science and Technology Innovation Base of Key Laboratory of Shandong Province for Software Engineering [11480004042015]
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The research proposes a blockchain-native mechanism supporting complex physical assets, which can effectively record the influence of different associations on the transaction execution order and establish a global deterministic transaction execution sequence to ensure digital asset consistency.
An increasing number of physical assets, such as academic certificates and credentials, are being represented in the form of digital assets. These assets always involve multiple statuses, rules, and complex associations. It is challenging to determine the transaction execution order using the existing blockchains because they lack the ability to record and execute associations between assets, which results in problems of inconsistency of assets, such as the loss of asset status changes and status conflict between transactions. This study proposes a blockchain-native mechanism supporting complex physical assets, including a novel digital asset model and transaction validity guarantee protocol. Under the premise of ensuring safety and performance, the proposed mechanism can fully describe different associations and their influence on the transaction execution order. This study builds a global deterministic transaction execution sequence that can be executed in parallel to guarantee the consistency of complex digital assets based on partial orders. Theoretical analysis of the proposed mechanism demonstrates that it can guarantee digital asset consistency and can protect against attacks such as reentrant and transaction sequence attacks. Furthermore, experiments show that the proposed mechanism can achieve a transaction execution speed of up to 10,000 transactions per second, and this speed can be further increased by increasing the number of CPU cores.
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