Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM
Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM
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DOI：
10.1109/jiot.2020.3045305
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发表时间：
2021-05-15
影响因子：
10.6
通讯作者：
Skjellum, Anthony
中科院分区：
文献类型：
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作者：
Reising, Donald;Cancelleri, Joseph;Skjellum, Anthony
据估计，未来五年，物联网（IoT）设备的数量将达到750亿。大多数目前和即将部署的设备缺乏足够的安全性，无法保护自己和网络免受恶意物联网设备的攻击，这些设备伪装成授权设备，以绕过数字认证方法。这项工作提出了一种物理（PHY）层物联网认证方法，能够通过使用特征减少、射频不同的原生属性（RF-DNA）指纹和支持向量机（SVM）来解决这一关键的安全需求。这项工作成功地证明了：1)在信噪比大于或等于6db的六个随机选择的无线电的三次试验中验证授权身份（ID）； 2)使用使用Relief-F算法选择特征的RF-DNA指纹，在信噪比大于或等于3db的情况下拒绝所有流氓无线电ID欺骗攻击。
It is estimated that the number of Internet-of-Things (IoT) devices will reach 75 billion in the next five years. Most of those currently and soon-to-be deployed devices lack sufficient security to protect themselves and their networks from attacks by malicious IoT devices masquerading as authorized devices in order to circumvent digital authentication approaches. This work presents a physical (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: 1) authorized identity (ID) verification across three trials of six randomly chosen radios at signal-to-noise ratios greater than or equal to 6 dB and 2) 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.