Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming
The security of wireless communications is increasingly threatened by eavesdropping and jamming attacks. This paper proposes a novel framework for enhancing secure transmission using hybrid active-passive Reconfigurable Intelligent Surfaces (RIS). By combining active and passive elements, the hybrid...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10807185/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841554043678228480 |
|---|---|
| author | Abdul Wahid Syed Zain Ul Abideen Nouman Imtiaz Mian Muhammad Kamal Abdullah Alharbi Amr Tolba M. A. Al-Khasawneh Inam Ullah |
| author_facet | Abdul Wahid Syed Zain Ul Abideen Nouman Imtiaz Mian Muhammad Kamal Abdullah Alharbi Amr Tolba M. A. Al-Khasawneh Inam Ullah |
| author_sort | Abdul Wahid |
| collection | DOAJ |
| description | The security of wireless communications is increasingly threatened by eavesdropping and jamming attacks. This paper proposes a novel framework for enhancing secure transmission using hybrid active-passive Reconfigurable Intelligent Surfaces (RIS). By combining active and passive elements, the hybrid RIS can dynamically adjust the amplitude and phase of reflected signals, providing a robust defense against eavesdropping and jamming. The key challenge lies in optimizing the beamforming at the base station (BS) and the hybrid RIS configuration in real time. To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. Simulation results demonstrate that the proposed DRL-based method significantly improves the secrecy rate compared to conventional passive RIS and benchmark methods. Our results indicate that the system can achieve substantial security gains even with a limited number of active RIS elements, making it a viable solution for next-generation wireless networks. |
| format | Article |
| id | doaj-art-7ac04bd682aa4482bf965ee5025131c8 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-7ac04bd682aa4482bf965ee5025131c82025-01-09T00:01:27ZengIEEEIEEE Access2169-35362025-01-01133632364310.1109/ACCESS.2024.352015110807185Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and JammingAbdul Wahid0https://orcid.org/0000-0002-4607-2363Syed Zain Ul Abideen1https://orcid.org/0009-0008-3740-2472Nouman Imtiaz2https://orcid.org/0000-0001-8215-3518Mian Muhammad Kamal3https://orcid.org/0000-0002-0159-9655Abdullah Alharbi4https://orcid.org/0000-0001-8617-1430Amr Tolba5https://orcid.org/0000-0003-3439-6413M. A. Al-Khasawneh6Inam Ullah7https://orcid.org/0000-0002-5879-569XCollege of Computer Science and Technology, Qingdao University, Qingdao, ChinaCollege of Computer Science and Technology, Qingdao University, Qingdao, ChinaSchool of Computer Science and Technology, Shandong University, Qingdao, Shandong, ChinaSchool of Electronic Science and Engineering, Southeast University, Jiangning, Nanjing, Jiangsu, ChinaComputer Science Department, Community College, King Saud University, Riyadh, Saudi ArabiaComputer Science Department, Community College, King Saud University, Riyadh, Saudi ArabiaSchool of Computing, Skyline University College, University City of Sharjah, Sharjah, United Arab EmiratesDepartment of Computer Engineering, Gachon University, Seongnam, Republic of KoreaThe security of wireless communications is increasingly threatened by eavesdropping and jamming attacks. This paper proposes a novel framework for enhancing secure transmission using hybrid active-passive Reconfigurable Intelligent Surfaces (RIS). By combining active and passive elements, the hybrid RIS can dynamically adjust the amplitude and phase of reflected signals, providing a robust defense against eavesdropping and jamming. The key challenge lies in optimizing the beamforming at the base station (BS) and the hybrid RIS configuration in real time. To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. Simulation results demonstrate that the proposed DRL-based method significantly improves the secrecy rate compared to conventional passive RIS and benchmark methods. Our results indicate that the system can achieve substantial security gains even with a limited number of active RIS elements, making it a viable solution for next-generation wireless networks.https://ieeexplore.ieee.org/document/10807185/Deep reinforcement learning (DRL)hybrid active-passive RISphysical layer security (PLS) |
| spellingShingle | Abdul Wahid Syed Zain Ul Abideen Nouman Imtiaz Mian Muhammad Kamal Abdullah Alharbi Amr Tolba M. A. Al-Khasawneh Inam Ullah Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming IEEE Access Deep reinforcement learning (DRL) hybrid active-passive RIS physical layer security (PLS) |
| title | Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming |
| title_full | Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming |
| title_fullStr | Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming |
| title_full_unstemmed | Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming |
| title_short | Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming |
| title_sort | enhancing security with hybrid active passive ris a drl approach against eavesdropping and jamming |
| topic | Deep reinforcement learning (DRL) hybrid active-passive RIS physical layer security (PLS) |
| url | https://ieeexplore.ieee.org/document/10807185/ |
| work_keys_str_mv | AT abdulwahid enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT syedzainulabideen enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT noumanimtiaz enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT mianmuhammadkamal enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT abdullahalharbi enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT amrtolba enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT maalkhasawneh enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming AT inamullah enhancingsecuritywithhybridactivepassiverisadrlapproachagainsteavesdroppingandjamming |