A 128-BIT SECRET KEY GENERATION USING UNIQUE ECG BIO-SIGNAL FOR MEDICAL DATA CRYPTOGRAPHY IN LIGHTWEIGHT WIRELESS BODY AREA NETWORKS

Abstract

In wireless Body Area Sensor Networks, the communication with the In-body Medical sensor node placed inside the patient must be crypto graphed to protect it. Existing wireless sensor network modes are not suitable for Wireless Body Area sensor Networks (WBAN) as these are resource constrained devices. Securing the implanted device in WBAN is essential for preserving not only the privacy of patient data, but also for ensuring safety of healthcare delivery. This paper presents a secret key generation scheme from the ECG signal parameters and allows device authentication. The proposed model allows the doctor to generate secret key from the ECG signal parameter of the patient without using the battery power of IBS node and providing authentication for both nodes without any initialization or pre-deployment of secret key. Simply we can deploy the sensor in a WBAN and make them to communicate securely (a plug and play model). In our analysis, result and compared with other key generation protocols. Showing that proposed method is a viable key generation and key agreement model for WBAN.