Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis
Abstract Wireless Sensor Networks (WSNs) are increasingly deployed in critical applications from healthcare to military systems, yet they face significant security challenges due to their resource constraints and distributed nature. This paper addresses two fundamental security problems in WSNs, i.e...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-00474-9 |
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| author | Guodong Su Boliang Zhang |
| author_facet | Guodong Su Boliang Zhang |
| author_sort | Guodong Su |
| collection | DOAJ |
| description | Abstract Wireless Sensor Networks (WSNs) are increasingly deployed in critical applications from healthcare to military systems, yet they face significant security challenges due to their resource constraints and distributed nature. This paper addresses two fundamental security problems in WSNs, i.e., vulnerable key distribution and Sybil attacks. Specifically, we propose a synergized security framework, a groundbreaking approach tailored to enhance the security performance of WSNs. First, a bidirectional hash-based key pre-distribution scheme that increases key generation complexity by 43% while maintaining low memory requirements. Second, a multi-trust layered detection mechanism that combines energy consumption pattern analysis with fuzzy logic for Sybil attack detection, achieving a 91.7% detection rate. Finally, comprehensive evaluations using OMNeT++ with networks of 1–500 nodes demonstrate that our framework outperforms existing protocols (LEAP, SPINS, ESK) by 17–32% in network throughput and 12–26% in node connectivity, while maintaining comparable latency to quantum-based methods (QKD, BB84). Real-world validation in a 32-node test environment confirms the framework’s practical effectiveness with only 4.3% performance deviation from simulation results. Our framework particularly excels in dynamic networks, maintaining 89% effectiveness even with 15% node mobility rates, significantly advancing the state-of-the-art in WSN security. |
| format | Article |
| id | doaj-art-a2ad5f8b66e747ee841b6ca4fbfb94df |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-a2ad5f8b66e747ee841b6ca4fbfb94df2025-08-20T02:34:02ZengNature PortfolioScientific Reports2045-23222025-05-0115112410.1038/s41598-025-00474-9Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysisGuodong Su0Boliang Zhang1Faculty of Engineering, School of Computer Science, University of SydneyFaculty of Applied Sciences, Macao Polytechnic UniversityAbstract Wireless Sensor Networks (WSNs) are increasingly deployed in critical applications from healthcare to military systems, yet they face significant security challenges due to their resource constraints and distributed nature. This paper addresses two fundamental security problems in WSNs, i.e., vulnerable key distribution and Sybil attacks. Specifically, we propose a synergized security framework, a groundbreaking approach tailored to enhance the security performance of WSNs. First, a bidirectional hash-based key pre-distribution scheme that increases key generation complexity by 43% while maintaining low memory requirements. Second, a multi-trust layered detection mechanism that combines energy consumption pattern analysis with fuzzy logic for Sybil attack detection, achieving a 91.7% detection rate. Finally, comprehensive evaluations using OMNeT++ with networks of 1–500 nodes demonstrate that our framework outperforms existing protocols (LEAP, SPINS, ESK) by 17–32% in network throughput and 12–26% in node connectivity, while maintaining comparable latency to quantum-based methods (QKD, BB84). Real-world validation in a 32-node test environment confirms the framework’s practical effectiveness with only 4.3% performance deviation from simulation results. Our framework particularly excels in dynamic networks, maintaining 89% effectiveness even with 15% node mobility rates, significantly advancing the state-of-the-art in WSN security.https://doi.org/10.1038/s41598-025-00474-9 |
| spellingShingle | Guodong Su Boliang Zhang Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis Scientific Reports |
| title | Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis |
| title_full | Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis |
| title_fullStr | Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis |
| title_full_unstemmed | Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis |
| title_short | Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis |
| title_sort | synergized security framework revolutionizing wireless sensor networks through comparative methodological analysis |
| url | https://doi.org/10.1038/s41598-025-00474-9 |
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