Paper
5 July 2024 Dynamic verification of data integrity on cloud based on chameleon hash algorithm
Di Han, Minghao Lee, Dejun Wang, Bo Meng
Author Affiliations +
Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843U (2024) https://doi.org/10.1117/12.3032985
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
With the rapid development of cloud storage technology, ensuring the integrity of data on cloud remains a significant challenge. This paper introduces an blockchain-based verification scheme, DVOD, to ensure transparent, efficient, and secure verification of the integrity of cloud storage data, in which data blocks are salted to generate tags with challenge numbers, the chameleon hash algorithm is then used to transform these tags into a series of generate leaf nodes for constructing a Merkle tree. Updating the salt in challenge-response while preserving the immutability of the Merkle tree. addresses the real-time data issue and the challenge-response solution's limited number of challenges, significantly enhancing efficiency compared to traditional schemes that reset salt after each verification. Comprehensive security analysis demonstrates the effectiveness of the scheme in defending against malicious entities targeting the system. Conducting experiments with other schemes show the DVOD has the substantial enhancements in computation and communication.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Di Han, Minghao Lee, Dejun Wang, and Bo Meng "Dynamic verification of data integrity on cloud based on chameleon hash algorithm", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843U (5 July 2024); https://doi.org/10.1117/12.3032985
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KEYWORDS
Data storage

Clouds

Blockchain

Computer security

Data processing

Computation time

Algorithm testing

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