The design of network security protection trust management system based on an improved hidden Markov model
Abstract With the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also gradually becoming prominent. At present, research on network security protection mainly starts from the overall perspective, and some studies a...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-11-01
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| Series: | EURASIP Journal on Information Security |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13635-023-00146-z |
| _version_ | 1797451804566355968 |
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| author | Shaojun Chen |
| author_facet | Shaojun Chen |
| author_sort | Shaojun Chen |
| collection | DOAJ |
| description | Abstract With the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also gradually becoming prominent. At present, research on network security protection mainly starts from the overall perspective, and some studies also start from the interaction between nodes. However, the trust management mechanisms in these studies do not have a predictive function. Therefore, to predict trust levels and protect network security, this paper innovatively proposes a trust management system for network security protection based on the improved hidden Markov model. The research divides the trust level of inter-node interactions by calculating the threat level of inter-node interactions and predicts the trust level of inter-node interactions through an optimized hidden Markov model. In addition, the study designs an estimation of the types of interactive threats between nodes based on alarm data. The research results show that when inactive interaction tuples are not excluded, the average prediction accuracy of the combined model is 95.5%. In response time, the maximum values of the active and passive cluster management pages are 38 ms and 33 ms, respectively, while the minimum values are 16 ms and 14 ms, with an average of 26.2 ms and 24 ms, respectively. The trust management system designed by the research institute has good performance and can provide systematic support for network security protection, which has good practical significance. |
| first_indexed | 2024-03-09T14:58:43Z |
| format | Article |
| id | doaj.art-139a2a0460d44b2b8a15566c76767dc5 |
| institution | Directory Open Access Journal |
| issn | 2510-523X |
| language | English |
| last_indexed | 2024-03-09T14:58:43Z |
| publishDate | 2023-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Information Security |
| spelling | doaj.art-139a2a0460d44b2b8a15566c76767dc52023-11-26T13:59:18ZengSpringerOpenEURASIP Journal on Information Security2510-523X2023-11-012023111310.1186/s13635-023-00146-zThe design of network security protection trust management system based on an improved hidden Markov modelShaojun Chen0School of Computer Science, Xijing UniversityAbstract With the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also gradually becoming prominent. At present, research on network security protection mainly starts from the overall perspective, and some studies also start from the interaction between nodes. However, the trust management mechanisms in these studies do not have a predictive function. Therefore, to predict trust levels and protect network security, this paper innovatively proposes a trust management system for network security protection based on the improved hidden Markov model. The research divides the trust level of inter-node interactions by calculating the threat level of inter-node interactions and predicts the trust level of inter-node interactions through an optimized hidden Markov model. In addition, the study designs an estimation of the types of interactive threats between nodes based on alarm data. The research results show that when inactive interaction tuples are not excluded, the average prediction accuracy of the combined model is 95.5%. In response time, the maximum values of the active and passive cluster management pages are 38 ms and 33 ms, respectively, while the minimum values are 16 ms and 14 ms, with an average of 26.2 ms and 24 ms, respectively. The trust management system designed by the research institute has good performance and can provide systematic support for network security protection, which has good practical significance.https://doi.org/10.1186/s13635-023-00146-zHidden Markov modelNetwork securityTrust managementSystem designAlarm data |
| spellingShingle | Shaojun Chen The design of network security protection trust management system based on an improved hidden Markov model EURASIP Journal on Information Security Hidden Markov model Network security Trust management System design Alarm data |
| title | The design of network security protection trust management system based on an improved hidden Markov model |
| title_full | The design of network security protection trust management system based on an improved hidden Markov model |
| title_fullStr | The design of network security protection trust management system based on an improved hidden Markov model |
| title_full_unstemmed | The design of network security protection trust management system based on an improved hidden Markov model |
| title_short | The design of network security protection trust management system based on an improved hidden Markov model |
| title_sort | design of network security protection trust management system based on an improved hidden markov model |
| topic | Hidden Markov model Network security Trust management System design Alarm data |
| url | https://doi.org/10.1186/s13635-023-00146-z |
| work_keys_str_mv | AT shaojunchen thedesignofnetworksecurityprotectiontrustmanagementsystembasedonanimprovedhiddenmarkovmodel AT shaojunchen designofnetworksecurityprotectiontrustmanagementsystembasedonanimprovedhiddenmarkovmodel |