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BEAIV: Blockchain Empowered Accountable Integrity Verification Scheme for Cross-Chain Data

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Web Information Systems and Applications (WISA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14094))

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Abstract

In recent years, while blockchain technology has the potential to revolutionize various industries, the issue of data silos presents a challenge to its development. To solve this problem, cross-chain technology is used to facilitate data sharing among different blockchain systems, promoting collaboration and integration between them. However, if the sending-chain or receiving-chain tamper with data during cross-chain interaction based on their own interests, it can severely compromise the integrity of cross-chain data, thereby rendering the entire cross-chain process meaningless. Therefore, in this paper, we propose a blockchain empowered accountable integrity verification scheme for cross-chain data(BEAIV). Considering the decentralized nature of block-chain, we adopt a supervision-chain for decentralized auditing instead of relying on a centralized third-party auditor. Notably, our scheme can not only detect the corruption of data integrity but also trace responsibility for dishonest entity. Furthermore, our proposed scheme supports batch auditing to enhance the efficiency of auditing process. Security analysis and performance evaluation show that BEAIV can verify the data integrity in cross-chain interactions, enabling secure and accurate cross-chain data sharing.

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Acknowledgements

This work was supported by the National Key Research & Development Program of China (No. 2020YFB1005500) and Postgraduate Research & Practice Innovation Program of NUAA (No. xcxjh20221616).

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Correspondence to Yuqian Zhou .

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Wei, W., Zhou, Y., Li, D., Hong, X. (2023). BEAIV: Blockchain Empowered Accountable Integrity Verification Scheme for Cross-Chain Data. In: Yuan, L., Yang, S., Li, R., Kanoulas, E., Zhao, X. (eds) Web Information Systems and Applications. WISA 2023. Lecture Notes in Computer Science, vol 14094. Springer, Singapore. https://doi.org/10.1007/978-981-99-6222-8_41

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  • DOI: https://doi.org/10.1007/978-981-99-6222-8_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6221-1

  • Online ISBN: 978-981-99-6222-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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