Joint resource configuration method for secure fog computing Internet of things
The current fog computing Internet of things (IoT) systems are prone to eavesdropping attacks in the process of physical communication transmission, and the existing research on fog computing has not effectively solved this problem.In order to realize the physical layer security (PLS) communication...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023134/ |
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| _version_ | 1841540074005594112 |
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| author | Shibo ZHANG Hongyuan GAO Yumeng SU Jianhua CHENG Lishuai ZHAO |
| author_facet | Shibo ZHANG Hongyuan GAO Yumeng SU Jianhua CHENG Lishuai ZHAO |
| author_sort | Shibo ZHANG |
| collection | DOAJ |
| description | The current fog computing Internet of things (IoT) systems are prone to eavesdropping attacks in the process of physical communication transmission, and the existing research on fog computing has not effectively solved this problem.In order to realize the physical layer security (PLS) communication of the fog computing IoT to against the malicious eavesdropping of multiple eavesdroppers, a physical-layer secure fog computing Internet of things (PSFC-IoT) system was proposed.The secrecy rate of the proposed system in the secure communication scenario was analyzed, a joint resource management method based on the quantum bean optimization algorithm (QBOA) was proposed to solve the resource allocation problem of the network.The convergence performance of the proposed method was analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on system secrecy performance.In addition, the simulation results show that the proposed method can achieve the best secrecy performance for various communication scenarios. |
| format | Article |
| id | doaj-art-cfb10ef2ba1f4753ac476ea2b46dea74 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-cfb10ef2ba1f4753ac476ea2b46dea742025-01-14T06:22:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-07-0144263759383718Joint resource configuration method for secure fog computing Internet of thingsShibo ZHANGHongyuan GAOYumeng SUJianhua CHENGLishuai ZHAOThe current fog computing Internet of things (IoT) systems are prone to eavesdropping attacks in the process of physical communication transmission, and the existing research on fog computing has not effectively solved this problem.In order to realize the physical layer security (PLS) communication of the fog computing IoT to against the malicious eavesdropping of multiple eavesdroppers, a physical-layer secure fog computing Internet of things (PSFC-IoT) system was proposed.The secrecy rate of the proposed system in the secure communication scenario was analyzed, a joint resource management method based on the quantum bean optimization algorithm (QBOA) was proposed to solve the resource allocation problem of the network.The convergence performance of the proposed method was analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on system secrecy performance.In addition, the simulation results show that the proposed method can achieve the best secrecy performance for various communication scenarios.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023134/fog computingIoTPLSjoint resource configurationquantum bean optimization algorithm |
| spellingShingle | Shibo ZHANG Hongyuan GAO Yumeng SU Jianhua CHENG Lishuai ZHAO Joint resource configuration method for secure fog computing Internet of things Tongxin xuebao fog computing IoT PLS joint resource configuration quantum bean optimization algorithm |
| title | Joint resource configuration method for secure fog computing Internet of things |
| title_full | Joint resource configuration method for secure fog computing Internet of things |
| title_fullStr | Joint resource configuration method for secure fog computing Internet of things |
| title_full_unstemmed | Joint resource configuration method for secure fog computing Internet of things |
| title_short | Joint resource configuration method for secure fog computing Internet of things |
| title_sort | joint resource configuration method for secure fog computing internet of things |
| topic | fog computing IoT PLS joint resource configuration quantum bean optimization algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023134/ |
| work_keys_str_mv | AT shibozhang jointresourceconfigurationmethodforsecurefogcomputinginternetofthings AT hongyuangao jointresourceconfigurationmethodforsecurefogcomputinginternetofthings AT yumengsu jointresourceconfigurationmethodforsecurefogcomputinginternetofthings AT jianhuacheng jointresourceconfigurationmethodforsecurefogcomputinginternetofthings AT lishuaizhao jointresourceconfigurationmethodforsecurefogcomputinginternetofthings |