An efficient authentication scheme syncretizing physical unclonable function and revocable biometrics in Industrial Internet of Things

Abstract

Biometric recognition is extensive for user security authentication in the Industrial Internet of Things (IIoT). However, the potential leakage of biometric data has severe repercussions, such as identity theft or tracking. Existing authentication schemes primarily focus on protecting biometric templates but often overlook the “one-authentication multiple-access” mode. As a result, these schemes still confront challenges related to privacy leakage and low efficiency for users who frequently access the server. In this regard, this paper proposes an efficient authentication scheme syncretizing physical unclonable function (PUF) and revocable biometrics in IIoT. Specifically, we design a revocable biometric template generation method syncretizing the user’s biometric data and the device’s PUF to enhance the security and revocability of the dual identity information. Given the generated revocable biometric template and the secret sharing, our scheme implements secure authentication and key negotiation between users and servers. Additionally, we establish an access boundary and an authentication validity period to permit multiple accesses following one authentication, thus significantly decreasing the computational cost of the user-side device. We leverage BAN logic and the ROR model to prove our scheme’s security. Informal security analysis and performance comparison demonstrate that our scheme satisfies more security features with higher authentication efficiency.