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 mul...

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Vydáno v:IET signal processing Ročník 2025; číslo 1
Hlavní autoři: Kamal, Mian Muhammad, Abideen, Syed Zain Ul, Sharafian, Amin, Ibrahim, Anwar Hassan, Islam, Muhammad, Habib, Shabana
Médium: Journal Article
Jazyk:angličtina
Vydáno: Stevenage John Wiley & Sons, Inc 01.01.2025
Wiley
Témata:
Algorithms
Bit error rate
Communication
Communication networks
Cybersecurity
Data security
Deep learning
Eavesdropping
Energy consumption
Energy efficiency
Internet of Things
Optimization techniques
Power supply
Reconfigurable intelligent surfaces
Security software
Signal quality
Smart cities
ISSN:1751-9675, 1751-9683
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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.
AbstractList 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.
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. Keywords: deep deterministic policy gradient, deep reinforcement learning, internet of things, physical layer security, reconfigurable intelligent surface 6th generation network
Audience Academic
Author Sharafian, Amin
Ibrahim, Anwar Hassan
Islam, Muhammad
Abideen, Syed Zain Ul
Habib, Shabana
Kamal, Mian Muhammad
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SubjectTerms Algorithms
Bit error rate
Communication
Communication networks
Cybersecurity
Data security
Deep learning
Eavesdropping
Energy consumption
Energy efficiency
Internet of Things
Optimization techniques
Power supply
Reconfigurable intelligent surfaces
Security software
Signal quality
Smart cities
Title Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach
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