A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature
These days, in allusion to the traditional network security risk evaluation model, which have certain limitations for real-time, accuracy, characterization. This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanis...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2016/4517019 |
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| _version_ | 1832552306565971968 |
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| author | Y. P. Jiang C. C. Cao X. Mei H. Guo |
| author_facet | Y. P. Jiang C. C. Cao X. Mei H. Guo |
| author_sort | Y. P. Jiang |
| collection | DOAJ |
| description | These days, in allusion to the traditional network security risk evaluation model, which have certain limitations for real-time, accuracy, characterization. This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanism of biological immune system and the imbalance of immune system which can result in body temperature changes, firstly, through the r-contiguous bits nonconstant matching rate algorithm to improve the detection quality of detector and reduce missing rate or false detection rate. Then the dynamic evolution process of the detector was described in detail. And the mechanism of increased antibody concentration, which is made up of activating mature detector and cloning memory detector, is mainly used to assess network risk caused by various species of attacks. Based on these reasons, this paper not only established the equation of antibody concentration increase factor but also put forward the antibody concentration quantitative calculation model. Finally, because the mechanism of antibody concentration change is reasonable and effective, which can effectively reflect the network risk, thus body temperature evaluation model was established in this paper. The simulation results showed that, according to body temperature value, the proposed model has more effective, real time to assess network security risk. |
| format | Article |
| id | doaj-art-94c700d6f7144380b4a14e1e128483af |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-94c700d6f7144380b4a14e1e128483af2025-02-03T05:59:07ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2016-01-01201610.1155/2016/45170194517019A Quantitative Risk Evaluation Model for Network Security Based on Body TemperatureY. P. Jiang0C. C. Cao1X. Mei2H. Guo3School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, ChinaSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, ChinaSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, ChinaSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, ChinaThese days, in allusion to the traditional network security risk evaluation model, which have certain limitations for real-time, accuracy, characterization. This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanism of biological immune system and the imbalance of immune system which can result in body temperature changes, firstly, through the r-contiguous bits nonconstant matching rate algorithm to improve the detection quality of detector and reduce missing rate or false detection rate. Then the dynamic evolution process of the detector was described in detail. And the mechanism of increased antibody concentration, which is made up of activating mature detector and cloning memory detector, is mainly used to assess network risk caused by various species of attacks. Based on these reasons, this paper not only established the equation of antibody concentration increase factor but also put forward the antibody concentration quantitative calculation model. Finally, because the mechanism of antibody concentration change is reasonable and effective, which can effectively reflect the network risk, thus body temperature evaluation model was established in this paper. The simulation results showed that, according to body temperature value, the proposed model has more effective, real time to assess network security risk.http://dx.doi.org/10.1155/2016/4517019 |
| spellingShingle | Y. P. Jiang C. C. Cao X. Mei H. Guo A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature Journal of Computer Networks and Communications |
| title | A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature |
| title_full | A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature |
| title_fullStr | A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature |
| title_full_unstemmed | A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature |
| title_short | A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature |
| title_sort | quantitative risk evaluation model for network security based on body temperature |
| url | http://dx.doi.org/10.1155/2016/4517019 |
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