TY - GEN
T1 - Cross-Chain Transaction Auditing with Truth Discovery
AU - Wu, Huishu
AU - Ren, Xuhao
AU - Liu, Mengxuan
AU - Liu, Tao
AU - Wang, Yajie
AU - Zhang, Chuan
AU - Zhu, Liehuang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In blockchain networks, cross-chain transaction audit is particularly important due to the wide variety of transactions between different chains, the large number of participants, and the unique rules and mechanisms of each chain. Scoring transactions can help buyers better understand the quality and credibility of transactions. However, the authenticity of the scores is not always reliable. In this paper, we propose a cross-chain transaction auditing scheme to address this problem. To be specific, this scheme deploys smart contracts on the relay-chain to query the seller’s transaction scores on the chain and uses truth discovery technology to evaluate the seller’s reputation. Since the smart contract is open and transparent, the credibility of the calculation process is ensured. In addition, considering the timeliness of the seller’s reputation, we use Dirichlet distribution to predict the future reputation through the seller’s historical reputation truth. Through experimental evaluation, we verified the effectiveness and reliability of the proposed scheme. In a local simulated experimental environment, the experimental results showed that the proposed scheme is feasible and efficient.
AB - In blockchain networks, cross-chain transaction audit is particularly important due to the wide variety of transactions between different chains, the large number of participants, and the unique rules and mechanisms of each chain. Scoring transactions can help buyers better understand the quality and credibility of transactions. However, the authenticity of the scores is not always reliable. In this paper, we propose a cross-chain transaction auditing scheme to address this problem. To be specific, this scheme deploys smart contracts on the relay-chain to query the seller’s transaction scores on the chain and uses truth discovery technology to evaluate the seller’s reputation. Since the smart contract is open and transparent, the credibility of the calculation process is ensured. In addition, considering the timeliness of the seller’s reputation, we use Dirichlet distribution to predict the future reputation through the seller’s historical reputation truth. Through experimental evaluation, we verified the effectiveness and reliability of the proposed scheme. In a local simulated experimental environment, the experimental results showed that the proposed scheme is feasible and efficient.
KW - Cross-chain
KW - Smart contract
KW - Transaction auditing
KW - Truth discovery
UR - http://www.scopus.com/inward/record.url?scp=85218917468&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-1551-3_10
DO - 10.1007/978-981-96-1551-3_10
M3 - Conference contribution
AN - SCOPUS:85218917468
SN - 9789819615506
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 122
EP - 140
BT - Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29–31, 2024, Proceedings
A2 - Zhu, Tianqing
A2 - Li, Jin
A2 - Castiglione, Aniello
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
Y2 - 29 October 2024 through 31 October 2024
ER -