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The Journal of Supercomputing

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14-08-2020

An efficient management scheme of blockchain-based cloud user information using probabilistic weighting

Authors: Yoon-Su Jeong, Byeong-Tae Ahn

Published in: The Journal of Supercomputing | Issue 4/2021

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Abstract

As the number of users using cloud services has increased in recent years, the number of users leaving the group or changing their personal information is often the case. In this paper, a blockchain-based cloud user information management scheme is proposed using stochastic weights to confirm that the information of users receiving cloud services has not been tampered with. The proposed scheme uses color keys to reliably distinguish blockchains of user information in a cloud environment. The quality of service is improved by pasting user attribute information generated using color keys to the front of the blockchain. The proposed scheme uses different color key information and attribute information, so they have the advantage of effectively processing user information in different cloud environments. It also supports lower overhead and higher efficiency compared to traditional techniques that individually add authentication keys to users by authenticating information from multiple users who receive cloud services with color keys. In addition, the proposed scheme allows the provision of reliable real-time cloud services by creating a stochastic sum of weights for the first and last users that make up the cloud. As a result of the performance analysis, the proposed scheme reduced the time of blockchain generation by \(7.9\%\) on average by linking user information to the probability value of user information. Efficiency in managing blockchain-based user information over overlay networks was up to \(11.5\%\) better than using RSA alone, with an average \(7.7\%\) lower overhead.

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Title: An efficient management scheme of blockchain-based cloud user information using probabilistic weighting
Authors: Yoon-Su Jeong
Byeong-Tae Ahn
Publication date: 14-08-2020
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 4/2021
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-020-03396-7

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