A Review on Biometric Security Mechanisms Security and Authentication of Body Sensor Networks

The processing power and memory availability limitations of the sensors make it difficult to secure body area networks (BANs) or body sensor networks (BSNs). Due to the impracticality of implementing high-end encryption in resource-constrained body sensor networks, heartbeat-based security is preferable. Traditional methods generate random bit sequences (RBS) utilizing biometrics. A common biometric for authentication that makes use of important metrics or attributes is a person’s heart rate. The suggested method gives an exhaustive overview of the current biometric security measures for BANs. The hamming distance and entropy have been proven to be the performance evaluation metrics for the traditional method. To guarantee distinctability, one can use the hamming distance metric, while entropy shows the average information associated with the binary data stream. An effective method for securing BANs is anticipated to be aided by the review.