Eavesdropping Interference in Wireless Communication Networks Based on Physical Layer Security

Abstract: Effective communication security protection can protect people's privacy from being violated. To raise the communication security of wireless communication networks, a collaborative eavesdropping interference scheme with added artificial noise is proposed by combining physical layer security and clustering scenarios to protect the communication security of wireless sensor networks. This scheme adds artificial noise to the transmitted signal to interfere with the eavesdropping signal, making the main channel the dominant channel and achieving eavesdropping interference in wireless communication networks. The results show that after using artificial noise, as the signal-to-noise ratio of the main channel increases from 0 to 20dB, the confidentiality capacity can increase from 0.5 to over 4.0. When the transmission power is 0.4W, the confidentiality capacity reaches its maximum and does not depend on the signal-to-noise ratio. When the number of interfering nodes increases from 1 to 2, the confidentiality capacity increases from approximately 4.7 to around 5.8. The research designed a wireless communication network eavesdropping interference scheme that can effectively protect the information security of the wireless communication network, making the main channel an advantageous channel and achieving complete confidentiality. This scheme can be applied to wireless communication networks to improve the security level of the network.

Mingming Chen and Yuzhi Chen. “Eavesdropping Interference in Wireless Communication Networks Based on Physical Layer Security”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.9 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150939

@article{Chen2024,
title = {Eavesdropping Interference in Wireless Communication Networks Based on Physical Layer Security},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150939},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150939},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Mingming Chen and Yuzhi Chen}
}