Exploring PUF-Controlled PA Spectral Regrowth for Physical-Layer Identification of IoT Nodes

📋 论文概要

该论文提出了一种利用物理不可克隆函数（PUF）控制功率放大器（PA）频谱再生，以实现物联网节点物理层识别的方法。通过将PUF的独特响应嵌入到PA的频谱特征中，解决了传统上层加密在资源受限IoT设备上的计算开销问题，提供了一种轻量级的硬件安全方案。

💡 主要创新点

• 首次将PUF与PA频谱再生结合，利用PA的非线性特性生成设备独有的物理层指纹，无需额外硬件开销。
• 提出了一种PUF控制的偏置电路，动态调整PA的工作点以产生可控的频谱再生模式，实现鲁棒的设备识别。

🏷 关键词

📄 原文摘要

*Equally-Credited Authors (ECAs) It is projected that 75 billion Internet-of-Things (IoT) devices will be deployed for applications such as wearable electronics and smart home by 2025. Securing IoT devices is one of the most significant barriers we need to overcome for large-scale IoT adoption. Conventional wireless security has been implemented solely using upper-layer cryptography [1]. Unfortunately, IoT nodes are often energy-constrained and may not have enough computational resources to implement advanced asymmetric cryptographic algorithms and public-key-infrastructures (PKI) [2-3]. To overcome this challenge, there has been growing interest in leveraging the physical impairments of the radios that are bonded to specific TX for secure identification [4-6], a.k.a. RF fingerprinting. If Bob (the RX) has sufficient sensitivity, it can identify Alice (the legitimate TX) and the malicious

👥 作者与机构

Qiang Zhou*, Yan He*, Kaiyuan Yang, Taiyun Chi

Rice University, Houston, TX