Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and Security in IoT Devices
<|reference_start|>Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and Security in IoT Devices: The rapid expansion of Internet of Things (IoT) devices demands robust and resource-efficient security solutions. Physically Unclonable Functions (PUFs), which generate unique cryptographic keys from inherent hardware variations, offer a promising approach. However, traditional PUFs like Arbiter PUFs (APUFs) and XOR Arbiter PUFs (XOR-PUFs) are susceptible to machine learning (ML) and reliability-based attacks. In this study, we investigate Component-Differentially Challenged XOR-PUFs (CDC-XPUFs), a less explored variant, to address these vulnerabilities. We propose an optimized CDC-XPUF design that incorporates a pre-selection strategy to enhance reliability and introduces a novel lightweight architecture to reduce hardware overhead. Rigorous testing demonstrates that our design significantly lowers resource consumption, maintains strong resistance to ML attacks, and improves reliability, effectively mitigating reliability-based attacks. These results highlight the potential of CDC-XPUFs as a secure and efficient candidate for widespread deployment in resource-constrained IoT systems.<|reference_end|>
@article{li2024designing,
    title={Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and
  Security in IoT Devices},
    author={Gaoxiang Li, Yu Zhuang},
    journal={arXiv preprint arXiv:2409.17902},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.17902},
    primaryClass={cs.CR cs.LG}
}