论文标题
预印：使用RF-DNA指纹和SVM的基于无线电标识验证的物联网安全
Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM
论文作者
论文摘要
据估计，在未来五年内，物联网设备的数量将达到750亿。当前的大多数（并且要部署）缺乏足够的安全性来保护自己及其网络免受恶意物联网设备的攻击，这些设备将其作为授权设备来规避数字身份验证方法。这项工作提出了一种PHY层的物联网身份验证方法，能够通过使用功能降低的射频频率差异本机属性（RF-DNA）指纹和支持向量机（SVM）来满足这种关键的安全需求。这项工作成功证明了100％：（i）在三个试验中，以六个随机选择的无线电比率进行了授权ID验证，以大于或等于6 dB，以及（ii）使用rf-dna Fingerprints选择了serief serief flgor-f algor-f algor-f algor-f algor-f algor-f a algor-f algor-f algor-f algor-f a algor-f algor-f algorth拒绝所有流氓无线电ID欺骗的攻击，以大于或等于3 db的攻击。
It is estimated that the number of IoT devices will reach 75 billion in the next five years. Most of those currently, and to be deployed, lack sufficient security to protect themselves and their networks from attack by malicious IoT devices that masquerade as authorized devices to circumvent digital authentication approaches. This work presents a PHY layer IoT authentication approach capable of addressing this critical security need through the use of feature reduced Radio Frequency-Distinct Native Attributes (RF-DNA) fingerprints and Support Vector Machines (SVM). This work successfully demonstrates 100%: (i) authorized ID verification across three trials of six randomly chosen radios at signal-to-noise ratios greater than or equal to 6 dB, and (ii) rejection of all rogue radio ID spoofing attacks at signal-to-noise ratios greater than or equal to 3 dB using RF-DNA fingerprints whose features are selected using the Relief-F algorithm.
