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ISSN 2063-5346
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ENSURING DATA SECURITY FOR PATIENT HEALTH RECORDS WITH CLOUD-BASED BLOCKCHAIN MONITORING AND ACCURATE DISEASE CLASSIFICATION USING CNN

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Mr. Sunil Kumar R M, Dr. A. Jayachandran
» doi: 10.31838/ecb/2023.12.6.42

Abstract

Blockchain technology enables secure and transparent data sharing, ensuring that only authorized parties can access the data. Moreover, Attribute-based Access Control (ABAC) provides more granular control over data access by granting it based on specific attributes, such as a patient's age or medical condition. In this paper, a proposed Blockchain-based Healthcare system with a cloud-based system is used for patient health monitoring. A secure and reliable healthcare-based blockchain with attribute-based encryption is suggested as a better solution to data access problems. The encryption is performed using homomorphic encryption techniques, and the hybrid Equilibrium with Poor and Rich Optimization (HEPRO) can perform the key generation operation. To convert an input (a message) into a fixed-size 256-bit value known as a hashed key, a cryptographic hash function called SHA-256 (Secure Hash Algorithm 256-bit) is used. After decrypting the patient details, the Weighted Convolutional Neural Network (CNN) is employed to classify the disease and provide treatment for the patient. Furthermore, wearable devices are utilized in the proposed system to collect patient data, offering real-time updates on the patient's health condition, which can be crucial in emergency situations.

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