Group authentication and key distribution for sensors in wireless body area network

Abstract

Wireless body area network can be employed to collect patient’s electronic health data. To guarantee the reliability and confidentiality of the collected data, secure data transmission in wireless body area network is required. In wireless body area network, a mutual authentication process has to be carried out between the controller and sensors to ensure their legitimacy, and a key distribution mechanism is required to secure communication after successful mutual authentication. Li et al. proposed a cryptographic solution, which allows group device pairing authentication and key agreement but has low authentication efficiency and key leakage problems. To address these issues, a group authentication and key distribution scheme is proposed in this article. It enables effectively mutual authentication between controller and sensors, supports all signatures of sensors in the group to be checked by the controller through aggregation verification to achieve efficient authentication, and allows key distribution during authentication to improve the computation efficiency. Security analysis indicates that the proposed scheme enjoys existentially unforgeability, and theoretical and experimental comparison demonstrates its practicality in terms of computation and communication cost.

A novel authentication scheme of identity based group signature algorithm for wireless body sensor network (WBSN)

“…In (Ding et al, 2021), the inter-pulse duration of Electrocardiogram (ECG) as well as Photoplethysmogram (PPG) is applied to produce cryptographic keys for encryption and authentication. In (Venkatasubramanian et al, 2008), it is employed with frequency coefficients of ECG and PPG generate cryptographic keys.…”

“…(You et al, 2018) implied a suggestion of a fuzzy vault that has been vastly employed in the application of field of biometric authorization. Then, a Physiological Signal Key Agreement technique (PSKA) depends upon fuzzy vault, which is presented in (Ding et al, 2021). But, the application of additional chaff points in PSKA model improves the processing expense.…”