ENHANCED MED-CHAIN SECURITY FOR PROTECTING DIABETIC HEALTHCARE DATA IN DECENTRALIZED HEALTHCARE ENVIRONMENT BASED ON ADVANCED CRYPTO AUTHENTICATION POLICY

Abstract

Security is the important aspect in healthcare environment based on data analysis and blockchain security in the context of IoT. By harnessing the power of these technologies, healthcare administrations can recover patient care, privacy data preservation and ensure the integrity of their data. The optimized deep learning model proposed in this paper serves as a valuable tool for healthcare organizations looking to leverage AI and blockchain technology for data analysis and security in the digital age. Due to leveraging the security breaches, key leakages, the healthcare data contains more sensitive information and patient treatment data are personalized to key safely. So, the prevailing security system doesn’t pose to attain integrity,confidentiality, trust to reliable the protection. To address this problem, Topropose an Enhanced Proof of Work-Based Block Chain Security (EPoW-BC) system for improving healthcare data transmission security to handover the authorized person.To implement an Advanced Shuffle Padding Folding Encryption (ASPFE) algorithm to improve the security.Shift Matrix Code Block Chaining Key (SMCB-CK) is used to create the secret key grounded the block level and chain level which is used for secret key verification to access the data.Creating verification and validation model based on Master Node Authentication Policy (MNAP) to improve the secure data handover.The proposed system produces high performance as well in higher security by validating the key parameters, encryption and security parameter by compared with exits system which proves high confidentiality, trust, and reliability.