Blockchain Assisted Intrusion Detection and Data Classification on Smart Healthcare Management System

Blockchain Assisted Intrusion Detection and Data Classification on Smart Healthcare Management System

© 2023 by IJETT Journal
Volume-71 Issue-2
Year of Publication : 2023
Author : K. Rajeshkumar, C. Ananth, N. Mohananthini
DOI : 10.14445/22315381/IJETT-V71I2P202

How to Cite?

K. Rajeshkumar, C. Ananth, N. Mohananthini, "Blockchain Assisted Intrusion Detection and Data Classification on Smart Healthcare Management System," International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 9-20, 2023. Crossref,

Blockchain (BC) is a newer technology being applied for making creative solutions in different fields involving healthcare. A Blockchain network is used in the medical field for preserving and exchanging patient datasets through diagnostic laboratories, hospitals, physicians, and pharmaceutical firms. BC application could precisely classify severe and dangerous mistakes in the healthcare sector. Accordingly, it could enhance the transparency, performance, and security of sharing healthcare datasets in the medical system. This technique is useful to healthcare institutions to gain insight and improve the analysis of healthcare records. Therefore, this study focuses on the design of healthcare solutions with BC technology to accomplish security. This study presents a Blockchain Assisted Intrusion Detection and Data Classification on Smart Healthcare Management System (BAIDDC-SHMS). The presented BAIDDC-SHMS technique initially performs intrusion detection using spiral search optimization (SPO) with a deep stacked sparse autoencoder (DSSAE) model. Besides, the BAIDDC-SHMS model involves EfficientNet feature extraction with a softmax (SM) classifier for the medical image classification process. The SPO algorithm was utilized for optimal modification of the hyperparameters of the DSSAE method and thereby raised the intrusion detection efficacy of the DSSAE algorithm. To demonstrate the betterment of the BAIDDCSHMS model, a wide range of experimental analyses can be conducted, and the outcomes are inspected under different measures. The comprehensive comparison study emphasized the superior performance of the BAIDDC-SHMS algorithm over other approaches.

Blockchain, Security, Healthcare management, Deep learning, Intrusion detection, Privacy.

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