Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments
Establishing robust cybersecurity for Internet of Things (IoT) ecosystems poses significant challenges for system operators due to IoT resource constraints, trade-offs between security and performance, diversity of applications, and their security requirements, usability, and scalability. This artic...
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MDPI AG
2024-12-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/14/1/6 |
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| author | Abdallah Farraj Eman Hammad |
| author_facet | Abdallah Farraj Eman Hammad |
| author_sort | Abdallah Farraj |
| collection | DOAJ |
| description | Establishing robust cybersecurity for Internet of Things (IoT) ecosystems poses significant challenges for system operators due to IoT resource constraints, trade-offs between security and performance, diversity of applications, and their security requirements, usability, and scalability. This article introduces a physical-layer security (PLS) approach that enables IoT devices to maintain specified levels of information confidentiality against wireless channel eavesdropping threats. This work proposes applying PLS active defense mechanisms utilizing spectrum-sharing schemes combined with fair scheduling and power management algorithms to mitigate the risk of eavesdropping attacks on resource-constrained IoT environments. Specifically, an IoT device communicating over an insecure wireless channel will utilize intentional noise signals transmitted alongside the actual IoT information signal. The intentional noise signal will appear to an eavesdropper (EVE) as additional noise, reducing the EVE’s signal-to-interference-plus-noise ratio (SINR) and increasing the EVE’s outage probability, thereby restricting their capacity to decode the transmitted IoT information, resulting in better protection for the confidentiality of the IoT device’s transmission. The proposed communication strategy serves as a complementary solution to existing security methods. Analytical and numerical analyses presented in this article validate the effectiveness of the proposed strategy, demonstrating that IoT devices can achieve the desired levels of confidentiality. |
| format | Article |
| id | doaj-art-9cf20989554948db8a3110a2025b350a |
| institution | Kabale University |
| issn | 2073-431X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-9cf20989554948db8a3110a2025b350a2025-01-24T13:27:51ZengMDPI AGComputers2073-431X2024-12-01141610.3390/computers14010006Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things EnvironmentsAbdallah Farraj0Eman Hammad1Department of Electrical Engineering, Texas A&M—RELLIS, Bryan, TX 77807, USAEngineering Technology and Industrial Distribution Department, Texas A&M University, College Station, TX 77843, USAEstablishing robust cybersecurity for Internet of Things (IoT) ecosystems poses significant challenges for system operators due to IoT resource constraints, trade-offs between security and performance, diversity of applications, and their security requirements, usability, and scalability. This article introduces a physical-layer security (PLS) approach that enables IoT devices to maintain specified levels of information confidentiality against wireless channel eavesdropping threats. This work proposes applying PLS active defense mechanisms utilizing spectrum-sharing schemes combined with fair scheduling and power management algorithms to mitigate the risk of eavesdropping attacks on resource-constrained IoT environments. Specifically, an IoT device communicating over an insecure wireless channel will utilize intentional noise signals transmitted alongside the actual IoT information signal. The intentional noise signal will appear to an eavesdropper (EVE) as additional noise, reducing the EVE’s signal-to-interference-plus-noise ratio (SINR) and increasing the EVE’s outage probability, thereby restricting their capacity to decode the transmitted IoT information, resulting in better protection for the confidentiality of the IoT device’s transmission. The proposed communication strategy serves as a complementary solution to existing security methods. Analytical and numerical analyses presented in this article validate the effectiveness of the proposed strategy, demonstrating that IoT devices can achieve the desired levels of confidentiality.https://www.mdpi.com/2073-431X/14/1/6IoTinformation confidentialityeavesdropping attacksphysical-layer securityactive defenseoutage probability |
| spellingShingle | Abdallah Farraj Eman Hammad Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments Computers IoT information confidentiality eavesdropping attacks physical-layer security active defense outage probability |
| title | Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments |
| title_full | Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments |
| title_fullStr | Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments |
| title_full_unstemmed | Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments |
| title_short | Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments |
| title_sort | noise based active defense strategy for mitigating eavesdropping threats in internet of things environments |
| topic | IoT information confidentiality eavesdropping attacks physical-layer security active defense outage probability |
| url | https://www.mdpi.com/2073-431X/14/1/6 |
| work_keys_str_mv | AT abdallahfarraj noisebasedactivedefensestrategyformitigatingeavesdroppingthreatsininternetofthingsenvironments AT emanhammad noisebasedactivedefensestrategyformitigatingeavesdroppingthreatsininternetofthingsenvironments |