A network security situation prediction method based on hidden Markov model
Aiming at the dynamic and real-time characteristics of network security situation prediction,a network security situation prediction model based on hidden Markov model（HMM）was designed.According to the HMM,the situation in t+1 from t time can be calculated.Meanwhile,the maximum entropy algorithm was...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2015-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015394/ |
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| _version_ | 1841529738224467968 |
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| author | Xiong ZHAN Hao GUO Peng ZHANG Shu MAO |
| author_facet | Xiong ZHAN Hao GUO Peng ZHANG Shu MAO |
| author_sort | Xiong ZHAN |
| collection | DOAJ |
| description | Aiming at the dynamic and real-time characteristics of network security situation prediction,a network security situation prediction model based on hidden Markov model（HMM）was designed.According to the HMM,the situation in t+1 from t time can be calculated.Meanwhile,the maximum entropy algorithm was combinated with HMM to improve the accuracy rate.The analysis and simulation experiments show that the method has the characteristics of autonomous learning and active defense,and it also balance the speed and accuracy. |
| format | Article |
| id | doaj-art-c37e56f019d143ca94930df8fa2b0dd6 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c37e56f019d143ca94930df8fa2b0dd62025-01-15T03:16:02ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-12-0131798459612006A network security situation prediction method based on hidden Markov modelXiong ZHANHao GUOPeng ZHANGShu MAOAiming at the dynamic and real-time characteristics of network security situation prediction,a network security situation prediction model based on hidden Markov model（HMM）was designed.According to the HMM,the situation in t+1 from t time can be calculated.Meanwhile,the maximum entropy algorithm was combinated with HMM to improve the accuracy rate.The analysis and simulation experiments show that the method has the characteristics of autonomous learning and active defense,and it also balance the speed and accuracy.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015394/network security situation predictionhidden Markov modelregularizationnetwork security |
| spellingShingle | Xiong ZHAN Hao GUO Peng ZHANG Shu MAO A network security situation prediction method based on hidden Markov model Dianxin kexue network security situation prediction hidden Markov model regularization network security |
| title | A network security situation prediction method based on hidden Markov model |
| title_full | A network security situation prediction method based on hidden Markov model |
| title_fullStr | A network security situation prediction method based on hidden Markov model |
| title_full_unstemmed | A network security situation prediction method based on hidden Markov model |
| title_short | A network security situation prediction method based on hidden Markov model |
| title_sort | network security situation prediction method based on hidden markov model |
| topic | network security situation prediction hidden Markov model regularization network security |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015394/ |
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