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Article type: Research Article
Authors: Poongodi, J.a; * | Kavitha, K.b | Sathish, S.c
Affiliations: [a] Department of CSE, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, Tamilnadu, India | [b] Department of ECE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India | [c] Department of Computer Science and Business Systems, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India
Correspondence: [*] Corresponding author. J. Poongodi, Assistant Professor, Department of CSE, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, Tamilnadu, India. E-mail: [email protected].
Abstract: In recent years, the Internet of Things (IoT) has attracted more attention after the integration of IoT devices with the cloud for data management. IoT is used for sharing data in healthcare services. However, security and privacy vulnerabilities still exist in data transfers to and from cloud environments. Due to memory limitations, it is difficult to implement security protocols in IoT devices. So an intermediate secure node is established to enhance data security and privacy while handling healthcare data. Blockchain is a renowned technology that is adopted in various data management and security applications, but its potential is not unleashed effectively in healthcare data management. Therefore in this research work, firstly, the data is pre-processed and then the Ant colony optimization method is used to find the shortest path for efficient data delivery. And, a blockchain based data security approach for healthcare data management is presented. The main objective is to enhance security against healthcare data threats. In the IoTs fog layer, a public-permissioned blockchain security process with elliptical curve cryptography and digital signature is presented as a distributed ledger database that provides immutable security, transparency in transactions, and prevents data tampering. The performance of the proposed approach is verified through various parameters like certificate generation time and size, data retrieval time, and size for better validation.
Keywords: Blockchain, healthcare IoT, data security, cryptography
DOI: 10.3233/JIFS-220797
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 5063-5073, 2022
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