A Blockchain-Based Secure Communication Framework For IOMT With Improved Security Via Hybrid Metaheuristic Models

Multiple healthcare devices are integrated into an IoMT network to enhance monitoring of patients and real-time treatment. These networks make crucial health care choices using many devices. To protect these devices and networks, researchers have used encoding, hashing, confidentiality safeguarding, attribute-based admittance controller, and more. However, continuous monitoring security frameworks are complicated or unchangeable. Present methods’ security relies on their interior setup, which is seldom extendable for new assaults. This explore recommends a hybrid metaheuristic approach for health care IoT safety. Changing encryption and hashing standards may dynamically rearrange the blockchain paradigm. EHO and GWO are used to continually optimize blockchain-based IoMT implementation security and QoS performance. In the proposed paradigm, dual fitness functions increase safety and QoS for numerous attacks. Fitness functions adjust encryption and hashing settings to enhance performance against various attacks. Blockchain-based deployment may be scaled and used in real time by integrating EH and GW optimization models for dynamic attack situations. The prototypical is evaluated beneath masquerade, Sybil, MITM, and DDoS assaults and associated to leading models.