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Sharing information and providing services are the key factors of the computer network. Due to publically in nature of computer network and improvement of various technology in the field of computer science, the chances of hacking and licking the confidentiality of shared messages have increased exponentially. Hence, preventing such possibilities and maintaining the confidentiality over the computer network has become the primary and forth most requirement. According to Shannon's perfect secrecy, the confidentiality of shared information can only be maintained if the size of the key is greater or equal to the length of the message. In this paper, an efficient mechanism has been proposed to establish the initial secret key based on the genetic algorithm (GA) and variable key generation mechanism, which helps to change the keys after selection of the initial key for each new block of data transmission to make the key size as long as the size of the original message. To prove the efficiency of the proposed scheme, a comparative studies with the existing related schemes have also been carried out later in this paper.

Currently, Internet of Medical Things (IoMT) gained popularity because of an ongoing pandemic. A few developed countries plan to deploy the IoMT for improving the security and safety of frontline workers to decrease the mortality rates of COVID-19 patients. However, IoMT devices share the information through an open network which leads to increased vulnerability to various attacks. Hence, electronic health management systems remain many security challenges, like recording sensitive patient data, secure communication, transferring patient information to other doctors, providing the data for future medical diagnosis, collecting data from WBAN, etc. In addition, the sensor devices attached to the human body are resource-limited and have minimal power capacity. Hence, to protect the medical privacy of patients, confidentiality and reliability of the system, the register sensor, doctor and server need to authenticate each other. Therefore, rather than two factors, in this work, a multifactor authentication protocol has been proposed to provide more secure communication.The presented scheme uses biometric and fuzzy extractors for more security purposes.Furthermore, the scheme is proved using informal and formal security verification BAN logic, ProVerif and AVISPA tools. The ProVerif simulation result of the suggested scheme shows that the proposed protocol achieves session key secrecy and mutual authentication

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