Network intrusion intention analysis model based on Bayesian attack graph
Aiming at the problem of ignoring the impact of attack cost and intrusion intention on network security in the current network risk assessment model,in order to accurately assess the target network risk,a method of network intrusion intention analysis based on Bayesian attack graph was proposed.Base...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-09-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020172/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539310926430208 |
|---|---|
| author | Zhiyong LUO Xu YANG Jiahui LIU Rui XU |
| author_facet | Zhiyong LUO Xu YANG Jiahui LIU Rui XU |
| author_sort | Zhiyong LUO |
| collection | DOAJ |
| description | Aiming at the problem of ignoring the impact of attack cost and intrusion intention on network security in the current network risk assessment model,in order to accurately assess the target network risk,a method of network intrusion intention analysis based on Bayesian attack graph was proposed.Based on the atomic attack probability calculated by vulnerability value,attack cost and attack benefit,the static risk assessment model was established in combination with the quantitative attack graph of Bayesian belief network,and the dynamic update model of intrusion intention was used to realize the dynamic assessment of network risk,which provided the basis for the dynamic defense measures of attack surface.Experiments show that the model is not only effective in evaluating the overall security of the network,but also feasible in predicting attack paths. |
| format | Article |
| id | doaj-art-ca5339e6993a4b0aa9d370c16340b3f9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ca5339e6993a4b0aa9d370c16340b3f92025-01-14T07:19:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-09-014116016959737447Network intrusion intention analysis model based on Bayesian attack graphZhiyong LUOXu YANGJiahui LIURui XUAiming at the problem of ignoring the impact of attack cost and intrusion intention on network security in the current network risk assessment model,in order to accurately assess the target network risk,a method of network intrusion intention analysis based on Bayesian attack graph was proposed.Based on the atomic attack probability calculated by vulnerability value,attack cost and attack benefit,the static risk assessment model was established in combination with the quantitative attack graph of Bayesian belief network,and the dynamic update model of intrusion intention was used to realize the dynamic assessment of network risk,which provided the basis for the dynamic defense measures of attack surface.Experiments show that the model is not only effective in evaluating the overall security of the network,but also feasible in predicting attack paths.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020172/Bayesian belief networkattack graphnetwork securityintrusion intentionrisk assessment |
| spellingShingle | Zhiyong LUO Xu YANG Jiahui LIU Rui XU Network intrusion intention analysis model based on Bayesian attack graph Tongxin xuebao Bayesian belief network attack graph network security intrusion intention risk assessment |
| title | Network intrusion intention analysis model based on Bayesian attack graph |
| title_full | Network intrusion intention analysis model based on Bayesian attack graph |
| title_fullStr | Network intrusion intention analysis model based on Bayesian attack graph |
| title_full_unstemmed | Network intrusion intention analysis model based on Bayesian attack graph |
| title_short | Network intrusion intention analysis model based on Bayesian attack graph |
| title_sort | network intrusion intention analysis model based on bayesian attack graph |
| topic | Bayesian belief network attack graph network security intrusion intention risk assessment |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020172/ |
| work_keys_str_mv | AT zhiyongluo networkintrusionintentionanalysismodelbasedonbayesianattackgraph AT xuyang networkintrusionintentionanalysismodelbasedonbayesianattackgraph AT jiahuiliu networkintrusionintentionanalysismodelbasedonbayesianattackgraph AT ruixu networkintrusionintentionanalysismodelbasedonbayesianattackgraph |