A Novel Symmetric Key Compact to Reliable Connection between Sensor Nodes Using Exploitable Features of ECG

Wireless sensor networks (WSNs) have evolved to serve a diverse multitude of uses, including field of health and social systems, as a result of advancements in the technology. In sensing devices, a wireless body area network (WBAN) is a particularly unique network technology that is meant to operate continuously to connect smart equipment and equipment implanted both in and out of person that are used for lengthy healthcare monitoring within even outside a medical environment. A WBAN is a network of sensor nodes that are implanted in and/or fastened on the individual body for the purpose of tracking the individual's physiological features. Although the growth of WBAN technology has the potential to considerably assist medical healthcare systems, the collection and transmission of private physiological data in such an open setting poses severe security and privacy issues. Throughout this research, we offer a unique key-agreement mechanism for securing communications between sensor nodes of wireless body area networks (WBANs). In order to communicate, the suggested technique relies on the measurement and verification of shared physiological properties at both the transmitter and receiver sensors. In contrast to current protocols, the suggested protocol allows communicating sensors to leverage their prior session pre-knowledge for encrypted communication during a certain length of time, as opposed to existing protocols. Thus, the time necessary for creating the shared key will be reduced. In addition, extracted characteristics will not be repeated in the medium, preventing listening attacks while keeping the unpredictability of the key. The experimental outcomes show the efficacy of the suggested key agreement existing protocols of both the image retrieval and the key establishment phases, with an efficiency of 99.50 percent and an error rate of 0.005 percent in both the image retrieval and based consensus phases. When compared to current key agreement methods, the suggested protocol outperforms them in terms of energy and memory consumption, which is proved.