IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things
5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. Physical Layer Security (PLS) is a promising technique that can enhance the security of 5G ena...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10056118/ |
| _version_ | 1827997237644361728 |
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| author | Bakhtiar Ali Jawad Mirza Sajid Hussain Alvi Mohammad Zubair Khan Muhammad Awais Javed Abdulfattah Noorwali |
| author_facet | Bakhtiar Ali Jawad Mirza Sajid Hussain Alvi Mohammad Zubair Khan Muhammad Awais Javed Abdulfattah Noorwali |
| author_sort | Bakhtiar Ali |
| collection | DOAJ |
| description | 5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. Physical Layer Security (PLS) is a promising technique that can enhance the security of 5G enabled IIoT. In this paper, we present an IRS-assisted PLS scheme for 5G enabled IIoT that improves the weighted secrecy sum-rate (WSSR) of the industrial wireless network, where eavesdroppers are present around the facility. The key idea is to jointly optimize active and passive beamforming vectors to increase the secrecy rate at the user. To maximize WSSR, we use the stable matching algorithm that optimally assigns IRSs for secure data sharing between industrial units. Simulation results show that the proposed scheme enhances the WSSR performance by 40% and minimum secrecy rate by 25% as compared to the random and maximum weight matching schemes, respectively. |
| first_indexed | 2024-04-10T05:26:21Z |
| format | Article |
| id | doaj.art-ebb6b96195074dee96110d04fdd5f69a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T05:26:21Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ebb6b96195074dee96110d04fdd5f69a2023-03-08T00:00:25ZengIEEEIEEE Access2169-35362023-01-0111213542136310.1109/ACCESS.2023.325025110056118IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of ThingsBakhtiar Ali0https://orcid.org/0000-0001-6502-0246Jawad Mirza1https://orcid.org/0000-0001-8129-321XSajid Hussain Alvi2https://orcid.org/0000-0003-1577-0895Mohammad Zubair Khan3https://orcid.org/0000-0002-2409-7172Muhammad Awais Javed4https://orcid.org/0000-0001-5816-097XAbdulfattah Noorwali5https://orcid.org/0000-0001-9942-2526Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, PakistanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, PakistanDepartment of Physics, COMSATS University Islamabad, Islamabad, PakistanDepartment of Computer Science and Information, Taibah University, Medina, Saudi ArabiaDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, PakistanDepartment of Electrical Engineering, Umm Al-Qura University, Mecca, Saudi Arabia5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. Physical Layer Security (PLS) is a promising technique that can enhance the security of 5G enabled IIoT. In this paper, we present an IRS-assisted PLS scheme for 5G enabled IIoT that improves the weighted secrecy sum-rate (WSSR) of the industrial wireless network, where eavesdroppers are present around the facility. The key idea is to jointly optimize active and passive beamforming vectors to increase the secrecy rate at the user. To maximize WSSR, we use the stable matching algorithm that optimally assigns IRSs for secure data sharing between industrial units. Simulation results show that the proposed scheme enhances the WSSR performance by 40% and minimum secrecy rate by 25% as compared to the random and maximum weight matching schemes, respectively.https://ieeexplore.ieee.org/document/10056118/Omni-IRSMISOsecrecy ratestable matching |
| spellingShingle | Bakhtiar Ali Jawad Mirza Sajid Hussain Alvi Mohammad Zubair Khan Muhammad Awais Javed Abdulfattah Noorwali IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things IEEE Access Omni-IRS MISO secrecy rate stable matching |
| title | IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things |
| title_full | IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things |
| title_fullStr | IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things |
| title_full_unstemmed | IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things |
| title_short | IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things |
| title_sort | irs assisted physical layer security for 5g enabled industrial internet of things |
| topic | Omni-IRS MISO secrecy rate stable matching |
| url | https://ieeexplore.ieee.org/document/10056118/ |
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