A Spectrum Efficient Spatial Polarized QAM Modulation Scheme for Physical Layer Security in Dual-Polarized Satellite Systems

Configuration of antenna array system to offer directional dependent modulation has the capability of enhancing the security level of data transmission against eavesdroppers’ attacks. In this paper, Frequency diverse array (FDA) antenna for physical–layer security in wireless communications has been proposed. The proposed method provide a range and angle dependent directional modulation scheme using FDA with frequency increments to improve physical-layer security point-to-point communications. It maintains the objective of changing the progressive phase shifts at each symbol transmission. Thus the emitted pattern at each symbol transmission period will be range and angle dependent. Consequently, the proposed method offers a robust physical-layer security for wireless transmission, as the transmitted signal will be deliberately distorted along the undesired positions, but can be successfully decoded by the intended receiver position. Numerical results are presented to validate the effectiveness of the proposed method. Keywords: Frequency diverse array; Physical-layer security; Directional antenna modulation; Wireless communication; Range and angle dependent.

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Secure Communication in Non-Geostationary Orbit Satellite Systems: A Physical Layer Security Perspective

IEEE Access ◽

10.1109/access.2018.2885979 ◽

2019 ◽

Vol 7 ◽

pp. 3371-3382 ◽

Cited By ~ 5

Author(s):

Yeqiu Xiao ◽

Jia Liu ◽

Yulong Shen ◽

Xiaohong Jiang ◽

Norio Shiratori

Keyword(s):

Physical Layer Security ◽

Secure Communication ◽

Physical Layer ◽

Geostationary Orbit ◽

Satellite Systems ◽

Orbit Satellite

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Physical layer security using an adaptive modulation scheme for improved confidentiality

IET Communications ◽

10.1049/iet-com.2019.0031 ◽

2019 ◽

Vol 13 (20) ◽

pp. 3383-3390

Author(s):

Lavanya Dhamodhar Loganathan ◽

Ramaprabha Rengaraj ◽

Gunaseelan Konganathan ◽

Vaishnavi Varatharajan

Keyword(s):

Physical Layer Security ◽

Adaptive Modulation ◽

Physical Layer ◽

Modulation Scheme

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Implementation of a Noise-Shaped Signaling System through Software-Defined Radio

Applied Sciences ◽

10.3390/app12020641 ◽

2022 ◽

Vol 12 (2) ◽

pp. 641

Author(s):

Junsung Choi ◽

Dongryul Park ◽

Suil Kim ◽

Seungyoung Ahn

Keyword(s):

Software Defined Radio ◽

Physical Layer Security ◽

Physical Layer ◽

Probability Of Detection ◽

Practical Implementation ◽

Modulation Scheme ◽

Military Force ◽

Signaling System ◽

Communication Algorithms ◽

Low Probability

Along with the development of electromagnetic weapons, Electronic Warfare (EW) has been rising as the future form of war. Especially in the area of wireless communications, high security defense systems such as Low Probability of Detection (LPD), Low Probability of Interception (LPI), and Low Probability of Exploitation (LPE) communication algorithms are being studied to prevent military force loss. One LPD, LPI, and LPE communication algorithm, physical-layer security, has been discussed and studied. We propose a noise signaling system, a type of physical-layer security, which modifies conventionally modulated I/Q data into a noise-like shape. To suggest the possibility of realistic implementation, we use Software-Defined Radio (SDR). Since there are certain hardware limitations, we present the limitations, requirements, and preferences of practical implementation of the noise signaling system. The proposed system uses ring-shaped signaling, and we present a ring-shaped signaling system algorithm, SDR implementation methodology, and performance evaluations of the system using the metrics of Bit Error Rate (BER) and Probability of Modulation Identification (PMI), which we obtain by using a Convolutional Neural Network (CNN) algorithm. We conclude that the ring-shaped signaling system can perform high LPI/LPE communication functioning because an eavesdropper cannot obtain the correct modulation scheme information. However, the performance can vary with the configurations of the I/Q data-modifying factors.

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