SECURE CLOUD STORAGE USING BLOCKCHAIN FOR DECENTRALIZED SYSTEM WITH MERKLE TREE ALGORITHM

Babu Loganathan, Ganesh and Hadi Salih, Idris and Musa Murad, Ismail and S.Mahdi, Qaysar and Hamed Ali, Qusay (2023) SECURE CLOUD STORAGE USING BLOCKCHAIN FOR DECENTRALIZED SYSTEM WITH MERKLE TREE ALGORITHM. YMER, 22 (4). ISSN 0044-0477

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Abstract

In today’s world, the simplest way to share data is through the internet. Cloud computing is a technology provided by the internet, which is dependent on large storage providers. These storage companies function as untrustworthy third parties, managing massive amounts of data saved in the cloud. This data may contain sensitive information that belongs to multiple individuals or organizations. Such types of models may involve security issues like privacy and integrity. Blockchain Technologies has gained widespread attention, with a surge of interest in applications varying from information storage to cyber security, IoT, healthcare, and financial services. Blockchain applications were used to carry safe and comfortable healthcare data, and there was a lot of interest in them. Additionally, blockchain is converting traditional medical care practices into a more dependable way of efficient diagnostics and treatments over safe and secure data sharing. In this paper, developed the decentralized system architecture with Merkle Tree structure, and preserving this health monitoring statistics in the cloud parallel processing in distributed environment.

Item Type: Article
Uncontrolled Keywords: Blockchain, Blockchain healthcare systems, Cloud Computing, decentralized system, Merkle Tree
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
Engineering > Technology & Engineering
Engineering > Computer engineering
Engineering > Mechatronics engineering and machinery
Depositing User: ePrints deposit
Date Deposited: 19 Sep 2023 12:50
Last Modified: 19 Sep 2023 12:50
URI: http://eprints.tiu.edu.iq/id/eprint/1270

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