A Survey of Physical-Layer Authentication in Wireless Communications

Xie, Ning; Li, Zhuoyuan; Tan, Haijun

doi:10.1109/comst.2020.3042188

Cited by 129 publications

(32 citation statements)

References 153 publications

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“…In the literature [7], it is proposed that in TDD (Time Division Duplexing) systems, the communicating parties can have relatively consistent reciprocal channel characteristics for the wireless channel, thereby enabling the sharing of relevant sources and the generation of characteristic keys. After that, some key generation schemes have been proposed in the literature [8]. In this literature, the key generation methods were gradually evolved into 4 major steps: (1) channel estimation, (2) quantization, (3) key negotiation, and (4) secrecy enhancement.…”

Section: Related Workmentioning

confidence: 99%

Wireless Communication Physical Layer Sensing Antenna Array Construction and Information Security Analysis

Zhang

2021

Journal of Sensors

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Due to the complexity of wireless communication networks and the open nature of wireless links, complex upper layer network encryption cryptographic algorithms are also difficult to implement effectively in complex mobile wireless communication and interconnection networks, and traditional cryptography-based security policies are gradually not well able to meet the security management needs of today’s mobile Internet information era. In this paper, the physical characteristics of the channel in the wireless channel are extracted and used to generate keys, and then, the keys are negotiated so that the keys generated by the two communicating parties are identical. Then, the generated keys are used by the communicating parties to design the interleaving matrix for encryption of the message. The false bit rate of the system is investigated for the case of an interleaving matrix generated using different quantization methods of keys. The problem of characterizing the encoding and encryption techniques for interleaving keys for the physical layer sensing antenna arrays of wireless channels is studied in depth. The physical layer wireless channel interleaving technique and the wireless channel physical layer encryption technique are organically combined, and a joint interleaving encryption method based on the physical layer key of the wireless channel is designed and used to encrypt and randomize the physical layer data information of the OFDM (Orthogonal Frequency Division Multiplexing) system, which improves the security and reliability of the wireless channel information transmission. The effect of physical layer keys under different physical layer quantization methods on the performance of the wireless channel interleaving encryption algorithm is studied, and the quantization methods of pure amplitude, pure phase, and joint amplitude phase are investigated for the characteristics of wireless physical layer channels.

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Section: Related Workmentioning

confidence: 99%

Wireless Communication Physical Layer Sensing Antenna Array Construction and Information Security Analysis

Zhang

2021

Journal of Sensors

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“…For example, the authors of [144] proposed to enhance randomness in physical layer secret key generation by deep reinforcement learning (DRL). The authors of [146], [208] explored to use a CNN/RNN-based channel state estimation to enhance physical layer authentication. Using DRL-based models for anti-jamming is a common approach [209], [210].…”

Section: Artificial Intelligence's Impact On 6g Securitymentioning

confidence: 99%

Security and privacy for 6G: A survey on prospective technologies and challenges

Nguyen,

Lin,

Cheng

et al. 2021

Preprint

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Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-ground integrated network environment, novel technologies, and an accessible user information explosion. However, for now, security and privacy issues for 6G remain largely in concept. This survey provides a systematic overview of security and privacy issues based on prospective technologies for 6G in the physical, connection, and service layers, as well as through lessons learned from the failures of existing security architectures and state-of-the-art defenses.Two key lessons learned are as follows. First, other than inheriting vulnerabilities from the previous generations, 6G has new threat vectors from new radio technologies, such as the exposed location of radio stripes in ultra-massive MIMO systems at Terahertz bands and attacks against pervasive intelligence. Second, physical layer protection, deep network slicing, quantum-safe communications, artificial intelligence (AI) security, platform-agnostic security, real-time adaptive security, and novel data protection mechanisms such as distributed ledgers and differential privacy are the top promising techniques to mitigate the attack magnitude and personal data breaches substantially.

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“…Over the past decades, computation-demanding encryption algorithms have been the prevailing solution of data encryption, which prevent illegitimate users from decrypting data within a short time. However, to combat eavesdropping attacks from adversarial users, the complicated secret keys required by encryption algorithms result in an unavoidable overconsumption of energy and computation resources [4]. Meanwhile, the intricate key management and distribution strategy may lead to performance degradation in terms of delay and outage probability [5].…”

Section: Introductionmentioning

confidence: 99%

Secure Beamforming Design for Rate-Splitting Multiple Access in Multi-antenna Broadcast Channel with Confidential Messages

Xia¹,

Mao²,

Zhou³

et al. 2022

Preprint

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As physical layer security evolves to multi-user systems, multi-user interference (MUI) becomes an unavoidable issue. Recently, rate-splitting multiple access (RSMA) emerges as a powerful non-orthogonal transmission framework and interference management strategy with high spectral efficiency. Unlike most works fully treating MUI as noise, we take all users' secrecy rate requirements into consideration and propose an RSMA-based secure beamforming approach to maximize the weighted sum-rate (WSR), where MUI is partially decoded and partially treated as noise. User messages are split and encoded into common and private streams. Each user not only decodes the common stream and the intended private stream, but also tries to eavesdrop other users' private streams. A successive convex approximation (SCA)-based approach is proposed to maximize the instantaneous WSR under perfect channel state information at the transmitter (CSIT). We then propose a joint weighted minimum mean square error and SCA-based alternating optimization algorithm to maximize the weighted ergodic sum-rate under imperfect CSIT. Numerical results demonstrate RSMA achieves better WSR and is more robust to channel errors than conventional multi-user linear precoding technique while ensuring all users' security requirements. Besides, RSMA can satisfy all users' secrecy rate requirements without introducing WSR loss thanks to its powerful interference management capability.

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A Survey of Physical-Layer Authentication in Wireless Communications

Cited by 129 publications

References 153 publications

Wireless Communication Physical Layer Sensing Antenna Array Construction and Information Security Analysis

Wireless Communication Physical Layer Sensing Antenna Array Construction and Information Security Analysis

Security and privacy for 6G: A survey on prospective technologies and challenges

Secure Beamforming Design for Rate-Splitting Multiple Access in Multi-antenna Broadcast Channel with Confidential Messages

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