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Artificial Noise-Aided MIMO Physical Layer Authentication With Imperfect CSI
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2021-01-11 , DOI: 10.1109/tifs.2021.3050599
Jake Bailey Perazzone , Paul L. Yu , Brian M. Sadler , Rick S. Blum

Fingerprint embedding at the physical layer is a highly tunable authentication framework for wireless communication that achieves information-theoretic security by hiding a traditional HMAC tag in noise. In a multiantenna scenario, artificial noise (AN) can be transmitted to obscure the tag even further. The AN strategy, however, relies on perfect knowledge of the channel state information (CSI) between the legitimate users. When the CSI is not perfectly known, the added noise leaks into the receiver’s observations. In this article, we explore whether AN still improves security in the fingerprint embedding authentication framework with only imperfect CSI available at the transmitter and receiver. Specifically, we discuss and design detectors that account for AN leakage and analyze the adversary’s ability to recover the key from observed transmissions. We compare the detection and security performance of the optimal perfect CSI detector with the imperfect CSI robust matched filter test and a generalized likelihood ratio test (GLRT). We find that utilizing AN can greatly improve security, but suffers from diminishing returns when the quality of CSI knowledge is poor. In fact, we find that in some cases allocating additional power to AN can begin to decrease key security.

中文翻译:

具有不完善CSI的人工噪声辅助MIMO物理层认证

在物理层上嵌入指纹是一种用于无线通信的高度可调的身份验证框架,该框架通过将传统的HMAC标签隐藏在噪声中来实现信息论的安全性。在多天线场景中,可以传输人造噪声(AN)来进一步模糊标签。但是,AN策略依赖于合法用户之间对信道状态信息(CSI)的完全了解。如果不完全了解CSI,则添加的噪声会泄漏到接收器的观测结果中。在本文中,我们探讨了仅在发送器和接收器处只有不完善的CSI的情况下,AN是否仍可以提高指纹嵌入身份验证框架的安全性。具体来说,我们讨论并设计了解决AN泄漏的检测器,并分析了对手从观察到的传输中恢复密钥的能力。我们将最佳完美CSI检测器的检测和安全性能与不完善的CSI鲁棒匹配滤波器测试和广义似然比测试(GLRT)进行了比较。我们发现利用AN可以极大地提高安全性,但是当CSI知识的质量较差时,回报率就会下降。实际上,我们发现在某些情况下,向AN分配额外的权限可能会开始降低密钥安全性。但是当CSI知识的质量很差时,回报率就会下降。实际上,我们发现在某些情况下,为AN分配额外的权限可能会开始降低密钥安全性。但是当CSI知识的质量很差时,回报率就会下降。实际上,我们发现在某些情况下,为AN分配额外的权限可能会开始降低密钥安全性。
更新日期:2021-02-12
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