Title: Hierarchical blockchain-based secure data storage in cloud using Merkle tree approach
Authors: Judy Flavia Bruno; Balika J. Chelliah
Addresses: Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India ' Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India
Abstract: An authenticated manager must reinforce huge applications and operating systems, keeping information in the cloud while resisting potentially unreliable service providers. This article explores the presence of multiple service providers based on the cloud to store and manage customer information. It has investigated the creation of an optimal system for shared cloud storage to facilitate flexible operations and information migration. This paper uses the Merkle tree approach to describe the experimental outcomes and designs of security systems provided by blockchain in cloud computing. We proposed that good authenticity and security be implemented with minimal significant degradation. The method was based on the position of the conscious Merkle tree that employs a three-tuple technique that has proven reliable in terms of authentication and encryption of security functions. The proposed system performance was measured by parameters such as retrieval time of information in blockchain technology, cost of storage, and average time with conventional information storage methods. The results indicate that the proposed blockchain technology solution has a response time almost 50% faster than conventional methods. Also, it claims that the storage cost would be around 20% lower.
Keywords: blockchain technology; cloud computing security; Merkle tree; cost of storage and authentication; proposed system performance; information storage methods; flexible operations; information migration.
International Journal of Cloud Computing, 2024 Vol.13 No.6, pp.605 - 626
Received: 25 Oct 2023
Accepted: 07 Apr 2024
Published online: 30 Dec 2024 *