PUF-ILM: A PUF-Enabled Authentication Scheme for Internet of Vehicles Using Improved Logical Mapping

Abstract

This article proposes a lightweight two-way authentication scheme, PUF-ILM, that integrates physical unclonable function (PUF) and improved logistic map (ILM). The PUF generates unique challenge-response pairs (CRPs) for each device using its inherent physical randomness, thereby achieving reliable device identity authentication. The ILM encrypts and obfuscates the transmitted CRPs by enhancing their chaotic characteristics, expanding the parameter range, and eliminating periodic windows, effectively resisting modeling and eavesdropping attacks. Security analysis indicates that this scheme possesses several known security attributes, including anti-cloning, anonymity, two-way authentication, forward/backward security, and anti-machine-learning modeling. Performance evaluation shows that PUF-ILM maintains low communication overhead while maintaining a simple system structure and does not rely on complex hardware or external trusted institutions, offering high security and strong practicality, making it especially suitable for large-scale deployment in resource-constrained Internet of Vehicles environments.

Keywords: Internet of Vehicles, logistic mapping, physical unclonable function (PUF), resource-constrained