A Novel Biometric Algorithm to Body Sensor Networks

摘要: In Body Sensor Networks (BSN) several sensor nodes are attached on, inside or around human body to monitor vital sign signals such as, Electrocardiogram (ECG), Electroencephalogram (EEG), Blood pressure etc. The information from each node is very significant; therefore privacy and security important during data transmission in BSN. conventional cryptographic approaches make use of keys achieve authentication, these not only require high resource utilization computation time, but also consume large amount energy, power memory Therefore, it necessary develop efficient less computational complex authentication technique for this paper we design a novel biometric algorithm which based on feature (ECG) uses Data Authentication Function (DAF) the BSN instead utilizing traditional key generation procedure. Our proposed compared with two techniques, Encryption Standard (DES) symmetric private-key encryption RSA (Rivest Shamir Adleman) asymmetric public-key scheme. Simulation performed MATLAB results explain that our terms time average remaining energy.