PUF-ILM: A PUF-Enabled Authentication Scheme for Internet of Vehicles Using Improved Logical Mapping
| dc.contributor.author | Khan, Farrukh Aslam | |
| dc.contributor.author | Chaudhry, Shehzad Ashraf | |
| dc.contributor.author | Das, Ashok Kumar | |
| dc.contributor.author | ETAL.. | |
| dc.date.accessioned | 2026-06-29T09:45:30Z | |
| dc.date.available | 2026-06-29T09:45:30Z | |
| dc.date.issued | 2026 | |
| dc.description | The advancement of the IoV [1], [2], issues such as data theft, information tampering, and malicious attacks on user devices during information exchange persistently emerge, posing substantial risks and challenges to a stable societal environment [3], [4]. For example, although the onboard unit (OBU) in vehicles is designed to be tamper-resistant, attackers can extract private information stored within through side-channel attacks or power analysis attacks [5], [6]. In scenarios where devices are left unattended, they become vulnerable to physical attacks, including side-channel analysis, memory extraction, and reverse engineering, potentially resulting in the leakage of sensitive information such as cryptographic keys. Conventional authentication protocols often fail to provide adequate protection against such physical attacks [7], [8]. | |
| dc.description.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 | |
| dc.identifier.citation | Chauhdary, S. H., Ma, T., Jiang, L., Khan, F. A., Das, A. K., & Chaudhry, S. A. (2026). PUF-ILM: A PUF enabled Authentication scheme for Internet of Vehicles using Improved Logical Mapping. IEEE Internet of Things Journal. | |
| dc.identifier.doi | https://doi.org/10.1109/JIOT.2026.3656432 | |
| dc.identifier.uri | https://repository.adu.ac.ae/handle/1/8310 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.title | PUF-ILM: A PUF-Enabled Authentication Scheme for Internet of Vehicles Using Improved Logical Mapping | |
| dc.type | Article |