太赫兹无线链路的绝对安全性

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Signal Processing Pub Date : 2023-07-01 DOI:10.1109/JSTSP.2023.3307906
Alejandro Cohen;Rafael G. L. D'Oliveira;Chia-Yi Yeh;Hichem Guerboukha;Rabi Shrestha;Zhaoji Fang;Edward W. Knightly;Muriel Médard;Daniel M. Mittleman
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引用次数: 1

摘要

防止窃听的安全性是任何通信系统设计中的关键问题之一。无线通信信道安全性的许多常见考虑因素依赖于将Bob(预期接收器)测量的信号电平与Eve(单个窃听者)可访问的信号电平进行比较。当Bob的信噪比(SNR)超过Eve时,Wyner的窃听模型等框架从平均意义上确保了链路的安全性。不幸的是,由于这些保证依赖于Eve的噪声实现,从统计数据来看,Eve偶尔仍能成功解码信息。在广播部门的一个工程区域实现完全零拦截概率的目标,我们称之为绝对安全,仍然难以实现。在这里,我们描述了第一个具有单个窃听器的无线链路架构,它提供了绝对的安全性。即,一种不依赖于噪声、共享安全密钥或Eve计算能力的统计假设的加密确定性和非概率安全方法。我们的方法依赖于宽带和高增益天线的固有特性,因此非常适合在毫米波和太赫兹无线系统中实现,在这些系统中通常会使用这种天线。我们利用不同频率下天线方向图的空间最小值,其并集定义了一个宽区域,无论Eve的计算能力如何,也无论信道中的噪声如何,都可以保证其失败。与传统的迫零波束形成方法不同,我们表明,对于天线配置和功率预算的现实假设,这种绝对的安全保证可以在大多数可能的窃听位置上实现。由于我们使用相对简单的频率复用编码,再加上衍射孔径的基本物理原理,这一想法在许多情况下都广泛适用。
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Absolute Security in Terahertz Wireless Links
Security against eavesdropping is one of the key concerns in the design of any communication system. Many common considerations of the security of a wireless communication channel rely on comparing the signal level measured by Bob (the intended receiver) to that accessible to Eve (a single eavesdropper). Frameworks such as Wyner's wiretap model ensure the security of a link, in an average sense, when Bob's signal-to-noise ratio (SNR) exceeds Eve's. Unfortunately, because these guarantees rely on the noise realizations at Eve, statistically, Eve can still occasionally succeed in decoding information. The goal of achieving exactly zero probability of intercept over an engineered region of the broadcast sector, which we term absolute security, remains elusive. Here, we describe the first architecture for a wireless link with a single eavesdropper, that provides absolute security. I.e., a cryptographic deterministic and non-probabilistic security approach that does not rely on statistical assumptions about noise, shared secure key, or Eve's computational power. Our approach relies on the inherent properties of broadband and high-gain antennas, and is therefore ideally suited for implementation in millimeter-wave and terahertz wireless systems, where such antennas will generally be employed. We exploit spatial minima of the antenna pattern at different frequencies, the union of which defines a wide region where Eve is guaranteed to fail regardless of her computational capabilities, and regardless of the noise in the channels. Unlike conventional zero-forcing beam forming methods, we show that, for realistic assumptions about the antenna configuration and power budget, this absolute security guarantee can be achieved over most possible eavesdropper locations. Since we use relatively simple frequency-multiplexed coding, together with the underlying physics of a diffracting aperture, this idea is broadly applicable in many contexts.
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
期刊最新文献
Front Cover Table of Contents IEEE Signal Processing Society Information Introduction to the Special Issue Near-Field Signal Processing: Algorithms, Implementations and Applications IEEE Signal Processing Society Information
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