A Lightweight Anonymous Identity Authentication Scheme for the Internet of Things

With the rapid growth of Internet of Things (IoT) devices, many of which are resource-constrained and vulnerable to attacks, current identity authentication methods are often too resource-intensive to provide adequate security. This paper proposes an efficient identity authentication scheme that integrates Physical Unclonable Functions (PUFs), Chebyshev chaotic maps, and fuzzy extractors. The scheme enables mutual authentication and key agreement without the need for passwords or smart cards, while providing effective defense against various attacks. The security of the proposed scheme is formally analyzed using an improved BAN logic. A comparison with existing related protocols in terms of security features, computational overhead, and communication overhead demonstrates the security and efficiency of the proposed scheme.