Advances in sensor technologies, such as Bio-sensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of Body Area Networks (BAN). A typical BAN consists of a number of wearable and implanted sensors through wireless communication (WBAN) can be used to monitor the parameters of the human body continuously. The unstable physiological regulatory system has to report about the status of the patient to the physician. There are various issues exist associated with WBAN. One of the significant process of WBAN is the communication of the sensor nodes. A key requirement for WBAN applications is to provide a secure communication channel between the body sensors and the communication system which are prone to malicious attacks. Lack of adequate security features may not only lead to a breach of patient privacy resulting in wrong diagnosis and treatment. This paper aims for implementing a secure authentication mechanism using Elliptic Curve Digital Signature Algorithm technique (ECDSA) for securing the physiological signal from the human body during inter-sensor communications.
CITATION STYLE
Venkatesan, G., & Selvaraj, C. (2016). Bio-sensor authentication for medical applications using WBAN. In Advances in Intelligent Systems and Computing (Vol. 398, pp. 457–467). Springer Verlag. https://doi.org/10.1007/978-81-322-2674-1_42
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