Cybersecurity-Driven AI and Data Analytics for Reliable Biomedical Sensor Networks A Cyber-Resilient Framework for Reliable, Intelligent and Secure Data Transmission

Abstract

The effects of reliable communication systems have been across-the-board and ubiquitous. Provided the present-day update of cellular configurations, leading analysts shockingly desire the construction of active networks. In case of biomedical sensors, it is mandatory to transmit information without loss. We attempt to validate our stable algorithm for the certainty of the information transmission in the sensor. Furthermore, the proposed approach can be investigated from a cybersecurity perspective by ensuring data integrity and resilience against communication disruptions, tampering, and adversarial interference. This provides a foundation for developing reliable and secure communication mechanisms for biomedical sensor networks and other resource-constrained IoT environments.