Research on network security management monitoring platform based on Internet of things technology
With the rapid development of the times, my country has made good innovation and progress in the Internet of Things technology, which has brought a lot of technical guarantees for computer network security. In the process of computer network security analysis and research, it is necessary to introdu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.1.00057 |
| _version_ | 1797340939894652928 |
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| author | Yang Qiang Cheng Chen Chen Yang Li Yan Shi Zhenyu |
| author_facet | Yang Qiang Cheng Chen Chen Yang Li Yan Shi Zhenyu |
| author_sort | Yang Qiang |
| collection | DOAJ |
| description | With the rapid development of the times, my country has made good innovation and progress in the Internet of Things technology, which has brought a lot of technical guarantees for computer network security. In the process of computer network security analysis and research, it is necessary to introduce the Internet of Things technology. In this paper, the CNN-GRU-PSO network is used to optimize the information classification control. Compared with the traditional model method, the CNN-GRU-PSO model method improves the accuracy rate from the original 86.4% to the original 95.5%. Nearly 10%; the precision rate increased from 84.3% to the original 91.2%, and the accuracy rate increased to nearly 7%; the recall rate was increased from 86.4% to the original 93.5%, and the accuracy rate increased to nearly 9%. The CNNGRU-PSO model optimizes network security management and formulates strict prevention mechanisms to ensure that computer networks can operate efficiently and safely. |
| first_indexed | 2024-03-08T10:10:41Z |
| format | Article |
| id | doaj.art-49efcc9629f14817b86866e8d834cd4c |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:10:41Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-49efcc9629f14817b86866e8d834cd4c2024-01-29T08:52:25ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00057Research on network security management monitoring platform based on Internet of things technologyYang Qiang0Cheng Chen1Chen Yang2Li Yan3Shi Zhenyu41Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, 510080, ChinaWith the rapid development of the times, my country has made good innovation and progress in the Internet of Things technology, which has brought a lot of technical guarantees for computer network security. In the process of computer network security analysis and research, it is necessary to introduce the Internet of Things technology. In this paper, the CNN-GRU-PSO network is used to optimize the information classification control. Compared with the traditional model method, the CNN-GRU-PSO model method improves the accuracy rate from the original 86.4% to the original 95.5%. Nearly 10%; the precision rate increased from 84.3% to the original 91.2%, and the accuracy rate increased to nearly 7%; the recall rate was increased from 86.4% to the original 93.5%, and the accuracy rate increased to nearly 9%. The CNNGRU-PSO model optimizes network security management and formulates strict prevention mechanisms to ensure that computer networks can operate efficiently and safely.https://doi.org/10.2478/amns.2023.1.00057cnn-gru-psocomputer network securityinformation classification control68m10 |
| spellingShingle | Yang Qiang Cheng Chen Chen Yang Li Yan Shi Zhenyu Research on network security management monitoring platform based on Internet of things technology Applied Mathematics and Nonlinear Sciences cnn-gru-pso computer network security information classification control 68m10 |
| title | Research on network security management monitoring platform based on Internet of things technology |
| title_full | Research on network security management monitoring platform based on Internet of things technology |
| title_fullStr | Research on network security management monitoring platform based on Internet of things technology |
| title_full_unstemmed | Research on network security management monitoring platform based on Internet of things technology |
| title_short | Research on network security management monitoring platform based on Internet of things technology |
| title_sort | research on network security management monitoring platform based on internet of things technology |
| topic | cnn-gru-pso computer network security information classification control 68m10 |
| url | https://doi.org/10.2478/amns.2023.1.00057 |
| work_keys_str_mv | AT yangqiang researchonnetworksecuritymanagementmonitoringplatformbasedoninternetofthingstechnology AT chengchen researchonnetworksecuritymanagementmonitoringplatformbasedoninternetofthingstechnology AT chenyang researchonnetworksecuritymanagementmonitoringplatformbasedoninternetofthingstechnology AT liyan researchonnetworksecuritymanagementmonitoringplatformbasedoninternetofthingstechnology AT shizhenyu researchonnetworksecuritymanagementmonitoringplatformbasedoninternetofthingstechnology |