EBIAC: Efficient biometric identity-based access control for wireless body area networks

Abstract Wireless body area networks (WBAN) is a promising technology in E-health systems. It provides a mechanism to collect and transmit human body’s psychological data by miniature wearable or implantable sensors. However, how to protect the security and privacy of the collected psychological data remains a major concern. In this paper, we design a biometric identity-based privacy-preserving scheme, where a user’s identity can be constructed from its biometric information. We then present an access control scheme for WBAN utilizing the proposed design. The proposed access control scheme provides confidentiality, authentication, integrity, non-repudiation and anonymity in the random oracle model. Performance evaluation shows that our proposed design has advantages in terms of computation/communication cost and energy consumption.