Information Security of PHY Layer in Wireless Networks

Author:

Fang Weidong12,Li Fengrong2ORCID,Sun Yanzan1,Shan Lianhai34,Chen Shanji5,Chen Chao5,Li Meiju5

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China

2. Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201899, China

3. Shanghai Internet of Things Co., Ltd., Shanghai 201899, China

4. Shanghai Research Center for Wireless Communications, Shanghai 200335, China

5. College of Physics and Electronic Information Engineering, Qinghai University for Nationalities, Xining, Qinghai 810000, China

Abstract

Since the characteristics of wireless channel are open and broadcasting, wireless networks are very vulnerable to be attacked via eavesdropping, jamming, and interference. As traditional secure technologies are not suitable for PHY layer of wireless networks, physical-layer security issues become a focus of attention. In this paper, we firstly identify and summarize the threats and vulnerabilities in PHY layer of wireless networks. Then, we give a holistic overview of PHY layer secure schemes, which are divided into three categories: spatial domain-based, time domain-based, and frequency domain-based. Along the way, we analyze the pros and cons of current secure technologies in each category. In addition, we also conclude the techniques and methods used in these categories and point out the open research issues and directions in this area.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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2. Design of Physical Layer secure communication for real wireless propagation environment;2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT);2023-12-29

3. Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks;Sensors;2023-10-16

4. Cracking Physical Layer Artificial Noise Secure Transmission by Bit-flipping;2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT);2023-08-04

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