An Optimized Meta-Analysis Secure Data Management in Internet of Medical Things (IoMT) Smart Healthcare Systems Based on Blockchain and Multi-access Edge Computing

The invention of Internet of Medical Things (IoMT) is creating massive amounts of sensitive patient data, creating issues for the secure and effective handling of data. Traditional centralized systems face security, reliability, and privacy challenges. The proposed solution aims to enhance cyber security in blockchain networks by integrating various technologies and techniques. It begins with the collection of data from the Internet of Medical Things (IoMT) devices, followed by preprocessing to cleanse and prepare the data for analysis. Encryption is then applied to secure the data, and Multi-Access Edge Computing (MEC) layers are utilized to enable efficient computation and storage closer to the data source. Secure communication protocols ensure the confidentiality and integrity of data transmission, while a distributed file system ensures fault tolerance and redundancy. Integration with a blockchain network provides a tamper-proof ledger for recording transactions and access events. The suggested system makes use of the blockchain's invulnerability to the network for protected data storage, smooth access control for more privacy, and permanent history of transactions for better data authenticity. Quantum cryptography enhances security by providing provably secure communication channels. This combination creates a secure, clear, and productive platform for organizing and analyzing IoMT healthcare data. A federated deep reinforcement learning-based intrusion detection system continuously analyzes network traffic for Advanced Persistent Threats (APTs). Clients access the system to perform data analysis and interpret results, contributing to a comprehensive workflow designed to safeguard sensitive data and protect against cyberattacks. The research proposed is focused on four potential uses for blockchain categories such as medicine prevention of drug distribution, monitoring as well as traceability, and security and confidentiality. The most frequently mentioned category was counterfeited prevention of drugs, which aligns with the pharmaceutical industry's core goal. The innovation is based on emerging topics such as governance of medicine data, quality of medicine, pharmacological turnover, drugs expiree, and prescription medicine monitoring.