Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces
Reconfigurable intelligent surfaces (RIS) are considered of paramount importance to improve air–ground and THz communications performance for 6G systems. Recently, RISs were proposed in Physical Layer Security (PLS), as they can (i) improve the secrecy capacity due to the controlled directional refl...
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Format: | Article |
Language: | English |
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MDPI AG
2023-03-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/5/2726 |
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author | Francesco Chiti Ashley Degl’Innocenti Laura Pierucci |
author_facet | Francesco Chiti Ashley Degl’Innocenti Laura Pierucci |
author_sort | Francesco Chiti |
collection | DOAJ |
description | Reconfigurable intelligent surfaces (RIS) are considered of paramount importance to improve air–ground and THz communications performance for 6G systems. Recently, RISs were proposed in Physical Layer Security (PLS), as they can (i) improve the secrecy capacity due to the controlled directional reflections’ capability of RIS elements and (ii) avoid potential eavesdroppers, redirecting data streams towards the intended users. This paper proposes the integration of a multi-RISs system within a Software Defined Networking (SDN) architecture to provide a specific control layer for secure data flows forwarding. The optimisation problem is properly characterised in terms of an objective function and an equivalent graph theory model is considered to address the optimal solution. Moreover, different heuristics are proposed, trading off complexity and PLS performance, to evaluate the more suitable multi-beam routing strategy. Numerical results are also provided, focusing on a worst case scenario which points out the improvement of the secrecy rate from the increase in the number of eavesdroppers. Furthermore, the security performance is investigated for a specific user mobility pattern in a pedestrian scenario. |
first_indexed | 2024-03-11T07:10:09Z |
format | Article |
id | doaj.art-19b1ad49680d4d7db4d4312b47592c80 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T07:10:09Z |
publishDate | 2023-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-19b1ad49680d4d7db4d4312b47592c802023-11-17T08:38:50ZengMDPI AGSensors1424-82202023-03-01235272610.3390/s23052726Secure Networking with Software-Defined Reconfigurable Intelligent SurfacesFrancesco Chiti0Ashley Degl’Innocenti1Laura Pierucci2Department of Information Engineering, University of Florence, 50139 Firenze, ItalyDepartment of Information Engineering, University of Florence, 50139 Firenze, ItalyDepartment of Information Engineering, University of Florence, 50139 Firenze, ItalyReconfigurable intelligent surfaces (RIS) are considered of paramount importance to improve air–ground and THz communications performance for 6G systems. Recently, RISs were proposed in Physical Layer Security (PLS), as they can (i) improve the secrecy capacity due to the controlled directional reflections’ capability of RIS elements and (ii) avoid potential eavesdroppers, redirecting data streams towards the intended users. This paper proposes the integration of a multi-RISs system within a Software Defined Networking (SDN) architecture to provide a specific control layer for secure data flows forwarding. The optimisation problem is properly characterised in terms of an objective function and an equivalent graph theory model is considered to address the optimal solution. Moreover, different heuristics are proposed, trading off complexity and PLS performance, to evaluate the more suitable multi-beam routing strategy. Numerical results are also provided, focusing on a worst case scenario which points out the improvement of the secrecy rate from the increase in the number of eavesdroppers. Furthermore, the security performance is investigated for a specific user mobility pattern in a pedestrian scenario.https://www.mdpi.com/1424-8220/23/5/2726reconfigurable intelligent surfacessoftware-defined networkingphysical layer securitysecrecy capacity optimization |
spellingShingle | Francesco Chiti Ashley Degl’Innocenti Laura Pierucci Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces Sensors reconfigurable intelligent surfaces software-defined networking physical layer security secrecy capacity optimization |
title | Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces |
title_full | Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces |
title_fullStr | Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces |
title_full_unstemmed | Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces |
title_short | Secure Networking with Software-Defined Reconfigurable Intelligent Surfaces |
title_sort | secure networking with software defined reconfigurable intelligent surfaces |
topic | reconfigurable intelligent surfaces software-defined networking physical layer security secrecy capacity optimization |
url | https://www.mdpi.com/1424-8220/23/5/2726 |
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