Graph Layer Security: Encrypting Information via Common Networked Physics
The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios. Whilst recently developed physical layer security (PLS) can expl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/10/3951 |
| _version_ | 1797495637879554048 |
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| author | Zhuangkun Wei Liang Wang Schyler Chengyao Sun Bin Li Weisi Guo |
| author_facet | Zhuangkun Wei Liang Wang Schyler Chengyao Sun Bin Li Weisi Guo |
| author_sort | Zhuangkun Wei |
| collection | DOAJ |
| description | The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios. Whilst recently developed physical layer security (PLS) can exploit common wireless channel state information (CSI), its sensitivity to channel estimation makes them vulnerable to attacks. In this work, we exploit an alternative common physics shared between IoT transceivers: the monitored channel-irrelevant physical networked dynamics (e.g., water/oil/gas/electrical signal-flows). Leveraging this, we propose, for the first time, graph layer security (GLS), by exploiting the dependency in physical dynamics among network nodes for information encryption and decryption. A graph Fourier transform (GFT) operator is used to characterise such dependency into a graph-bandlimited subspace, which allows the generation of channel-irrelevant cipher keys by maximising the secrecy rate. We evaluate our GLS against designed active and passive attackers, using IEEE 39-Bus system. Results demonstrate that GLS is not reliant on wireless CSI, and can combat attackers that have partial networked dynamic knowledge (realistic access to full dynamic and critical nodes remains challenging). We believe this novel GLS has widespread applicability in secure health monitoring and for digital twins in adversarial radio environments. |
| first_indexed | 2024-03-10T01:52:30Z |
| format | Article |
| id | doaj.art-f864542ac72740dcbb78e0886a9bde24 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:52:30Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f864542ac72740dcbb78e0886a9bde242023-11-23T13:04:05ZengMDPI AGSensors1424-82202022-05-012210395110.3390/s22103951Graph Layer Security: Encrypting Information via Common Networked PhysicsZhuangkun Wei0Liang Wang1Schyler Chengyao Sun2Bin Li3Weisi Guo4School of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UKSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UKSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UKDepartment of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UKThe proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios. Whilst recently developed physical layer security (PLS) can exploit common wireless channel state information (CSI), its sensitivity to channel estimation makes them vulnerable to attacks. In this work, we exploit an alternative common physics shared between IoT transceivers: the monitored channel-irrelevant physical networked dynamics (e.g., water/oil/gas/electrical signal-flows). Leveraging this, we propose, for the first time, graph layer security (GLS), by exploiting the dependency in physical dynamics among network nodes for information encryption and decryption. A graph Fourier transform (GFT) operator is used to characterise such dependency into a graph-bandlimited subspace, which allows the generation of channel-irrelevant cipher keys by maximising the secrecy rate. We evaluate our GLS against designed active and passive attackers, using IEEE 39-Bus system. Results demonstrate that GLS is not reliant on wireless CSI, and can combat attackers that have partial networked dynamic knowledge (realistic access to full dynamic and critical nodes remains challenging). We believe this novel GLS has widespread applicability in secure health monitoring and for digital twins in adversarial radio environments.https://www.mdpi.com/1424-8220/22/10/3951cyber-physical systemswireless securitysensor networkinfrastructure health monitoringgraph signal processing |
| spellingShingle | Zhuangkun Wei Liang Wang Schyler Chengyao Sun Bin Li Weisi Guo Graph Layer Security: Encrypting Information via Common Networked Physics Sensors cyber-physical systems wireless security sensor network infrastructure health monitoring graph signal processing |
| title | Graph Layer Security: Encrypting Information via Common Networked Physics |
| title_full | Graph Layer Security: Encrypting Information via Common Networked Physics |
| title_fullStr | Graph Layer Security: Encrypting Information via Common Networked Physics |
| title_full_unstemmed | Graph Layer Security: Encrypting Information via Common Networked Physics |
| title_short | Graph Layer Security: Encrypting Information via Common Networked Physics |
| title_sort | graph layer security encrypting information via common networked physics |
| topic | cyber-physical systems wireless security sensor network infrastructure health monitoring graph signal processing |
| url | https://www.mdpi.com/1424-8220/22/10/3951 |
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