Exploiting Beam Features for Spoofing Attack Detection in mmWave 60-GHz IEEE 802.11ad Networks

Wang, Ning; Jiao, Liudan; Wang, Pu; Li, Weiwei; Zeng, Kai

doi:10.1109/twc.2021.3049160

Cited by 11 publications

(8 citation statements)

References 30 publications

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“…Therefore, the complexity order of Algorithm 1 can be approximated as

\mathcal {O}(N^2)

. Based on the analysis above, in comparison to the machine leaning based schemes [21, 22], the complexity of Algorithm 1 is rather low.…”

Section: Authentication By Using Channel Sparsitymentioning

confidence: 99%

“…For instance, it is still not clear that how does the sparse properties of mmWave channel can benefit the PLA detections and how to design the lightweight but effective detection criteria to achieve the desirable performance. Recently, works [21,22] utilized machine learning algorithms to "learn" the variations of sparsity of the mmWave channel, which can further improve the detection performance. However, utilizing such learning algorithms usually requires an additional training phase, which increases the overall delay and complexity.…”

Section: Motivations and Contributionsmentioning

confidence: 99%

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Physical layer authentication for 5G/6G millimeter wave communications by using channel sparsity

2022

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This paper proposes a comprehensive study for the physical layer channel based authentication (PLA) designs in mmWave communications, which reveals the principles that how does the sparse properties of mmWave channel can benefit the PLA designs and performance. First, by fully investigating the channel perturbations of mmWave channel caused by the environmental changes within the channel coherence time, the generalized detection designs are investigated for mmWave channels. In general, it shows that the mmWave channel perturbations will seriously degrade the detection performance. To solve this problem, a lightweight but effective PLA scheme is proposed by fully utilizing the sparsity of mmWave channel. The key physical factors that impact the detection performance are fully investigated by conducting thoroughly theoretical analysis and simulations, and the detection spoofing probability of the scheme is show to be higher than 95%, while keeping the probability of false rate below 1%. The study indicates that channel sparsity is with great potential to design lightweight but effective PLA mechanisms for the future mmWave communication systems.

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“…Therefore, the complexity order of Algorithm 1 can be approximated as

\mathcal {O}(N^2)

. Based on the analysis above, in comparison to the machine leaning based schemes [21, 22], the complexity of Algorithm 1 is rather low.…”

Section: Authentication By Using Channel Sparsitymentioning

confidence: 99%

Section: Motivations and Contributionsmentioning

confidence: 99%

Physical layer authentication for 5G/6G millimeter wave communications by using channel sparsity

2022

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“…In fact, channel-based authentication verifies the location of the current transmitter rather than transmitter physics identity, and hence is referred to as location verification. There exists some research works on physical layer authentication for mmWave systems [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ]. In [ 6 ], the authors propose a physical layer authentication scheme by using sparse mmWave channel.…”

Section: Introductionmentioning

confidence: 99%

“…Following this line, the authors in [ 13 ] present a new physical layer countermeasure using channel virtual representation to defend against pilot contamination attack. In [ 14 ], unique beam pattern features are utilized to achieve physical layer spoofing attack detection and the detection problem is cast as a machine learning classification through the sector level sweep (SLS) process. The authors in [ 15 ] develop a physical layer authentication scheme by using signal-to-noise ratio (SNR) trace features to detect spoofing attacks in mmWave systems.…”

Section: Introductionmentioning

confidence: 99%

“…These approaches cannot be extended directly to mmWave MIMO communication systems because it is difficult for them to sufficiently excavate fine-grained physical layer characteristics from mmWave MIMO channels. Hardware-impairment-based authentication generally needs to employ high-precision hardware equipment for hardware feature extraction and bears high computational complexity [ 14 , 15 ]. Moreover, machine-learning-based authentication framework requires an expensive training stage with a large amount of training data, which might be unrealistic in practice.…”

Section: Introductionmentioning

confidence: 99%

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Utilizing Multi-Dimensional MmWave MIMO Channel Features for Location Verification

Zhang

Liu

2022

Sensors

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In this paper, we address the problem of authenticating transmitters in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication systems, and propose a location verification scheme based on multi-dimensional mmWave MIMO channel features. In particular, we first examine the mmWave MIMO channel features in terms of azimuth angle of arrival (AAoA), elevation angle of arrival (EAoA), and path gain, and then extract these fine-grained channel features through the maximum-likelihood (ML) estimation method. Based on the extracted feature parameters, authentication validation is cast in the framework of hypothesis testing theory. We also derive the analytical expressions for the typical false alarm and detection rates by using the likelihood ratio test and thus the statistical performance is analytically established. Finally, extensive numerical results are provided to demonstrate the performance of the proposed authentication scheme.

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Security Attacks and Countermeasures in 5G Enabled Internet of Things

Bahalul Haque,

Nausheen,

Al Mahfuj Shaan

et al. 2023

Springer Tracts in Electrical and Electronics Engineering

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The use of previous generation networks like 4G was vastly used in the Internet of Things (IoT) devices. The constant need to grow and develop just so the network can fulfill the requirement of IoT devices is still going on. The exponential growth of the data services substantially challenged the security and the networks of IoT because they were run by the mobile internet requiring high bit rate, low latency, high availability, and performances within various networks. The IoT integrates several sensors and data to provide services and a communication standard. Fifth Generation Communication System (5G) enabled IoT devices to allow the seamless connectivity of billions of interconnected devices. Cellular connections have become a central part of the society that powers our daily lives. Numerous security issues have come to light because of the exponential expansion of 5G technologies and the adaptation of the slow counterpart of IoT devices. Network services without security and privacy pose a threat to the infrastructure and sometimes endanger human lives. Analyzing security threats and mitigation is a crucial and fundamental part of the IoT ecosystem. Authorization of data, confidentiality, trust, and privacy of 5G enabled IoT devices are the most challenging parts of the system. And to provide a solution to these, we need a robust system to handle cyberattacks and prevent vulnerabilities by countermeasures. This paper includes a comprehensive discussion of 5G, IoT fundamentals, the layered architecture of 5G IoT, security attacks and their mitigation, current research, and future directions for 5G enabled IoT infrastructure.

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Exploiting Beam Features for Spoofing Attack Detection in mmWave 60-GHz IEEE 802.11ad Networks

Cited by 11 publications

References 30 publications

Physical layer authentication for 5G/6G millimeter wave communications by using channel sparsity

Physical layer authentication for 5G/6G millimeter wave communications by using channel sparsity

Utilizing Multi-Dimensional MmWave MIMO Channel Features for Location Verification

Security Attacks and Countermeasures in 5G Enabled Internet of Things

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