Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach

Securing communication between multiple users efficiently while there are too many potential eavesdroppers has become an important issue with the rise of the Internet of Things (IoTs). This paper extends on earlier research, moving from a single‐user and single‐eavesdropper scenario to a complex multiuser and multieavesdropper context, and incorporates an advanced physical layer security (PLS) technique for the first time. Using reconfigurable intelligent surfaces (RISs) enhances the strength and quality of signals for intended users, while those to the unintended users are suppressed. Real‐time control of the RIS phase shifts is enabled through a deep deterministic policy gradient (DDPG) algorithm and this control significantly changes the trade‐off between security and energy wastage. The simulation results demonstrate that the developed approach can scale up in densely populated urban centers, while increasing the bit error rate (BER) performance and the overall energy efficiency across different wireless mobile channels.

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Publication Details

Journal
IET Signal Processing
Published
2025-01-01
DOI
https://doi.org/10.1049/sil2/6422115
Citations
12
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
8.77

Funders

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article

Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach

Muhammad Islam, Shabana Habib, Mian Muhammad Kamal, Syed Zain Ul Abideen et al.
12 citations
IET Signal Processing
Advanced Wireless Communication Technologies
8.77
article

Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach

Muhammad Islam, Shabana Habib, Mian Muhammad Kamal, Syed Zain Ul Abideen, Amin Sharafian, Anwar Hassan Ibrahim
article en
12 citations

Abstract

Securing communication between multiple users efficiently while there are too many potential eavesdroppers has become an important issue with the rise of the Internet of Things (IoTs). This paper extends on earlier research, moving from a single‐user and single‐eavesdropper scenario to a complex multiuser and multieavesdropper context, and incorporates an advanced physical layer security (PLS) technique for the first time. Using reconfigurable intelligent surfaces (RISs) enhances the strength and quality of signals for intended users, while those to the unintended users are suppressed. Real‐time control of the RIS phase shifts is enabled through a deep deterministic policy gradient (DDPG) algorithm and this control significantly changes the trade‐off between security and energy wastage. The simulation results demonstrate that the developed approach can scale up in densely populated urban centers, while increasing the bit error rate (BER) performance and the overall energy efficiency across different wireless mobile channels.

IET Signal ProcessingVol. 2025(1)
Qassim University (SA), Shenzhen University (CN), University of Qom (IR), Southeast University (BD), Buraydah Colleges (SA), Southeast University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Advanced Wireless Communication Technologies
8.77
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Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach — Muhammad Islam, Shabana Habib, et al. · IET Signal Processing (2025) | TGRS Research Map | TGRS