An Efficient Scheme for Cryptographic Key Agreement in a Wireless Body Sensor Network Using Biometrics

Abstract

Wireless Body Sensor Networks (WBSNs). consist of small, resource-constrained sensor nodes that can be permanently or semi-permanently implanted inside the patient's body, or placed on the skin surface for specific medical purposes, sensing biometrics. The use of biometric features is one of the most effective ways to protect communications in WBSNs, rather than traditional protection schemes that consume limited network resources.  Although the use of traditional biometric features has increased the level of security within protection systems, it has had several drawbacks, which has led to the development of new, more effective biometric features such as ElectroCardioGram (ECG) sensors and electroencephalography (EEG).

   In this paper, we present a new security scheme to agree on the encryption key between two sensor nodes in a WBSN, based on the characteristics of both ECG and EEG signals. In this scheme. We implemented this proposed scheme, tested it, and then evaluated it against previous key management schemes, and the results showed the effectiveness of this scheme, which achieve a high level of reliability, and achieve security requirements in  WBSNs.