A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents
It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system’s emergency response capabilities, alleviate the cyber attacks’ damage, and strengthen the system’s counterattack ability. A comprehensive early warning syst...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/827376 |
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| _version_ | 1832549495229906944 |
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| author | Hui He Guotao Fan Jianwei Ye Weizhe Zhang |
| author_facet | Hui He Guotao Fan Jianwei Ye Weizhe Zhang |
| author_sort | Hui He |
| collection | DOAJ |
| description | It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system’s emergency response capabilities, alleviate the cyber attacks’ damage, and strengthen the system’s counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system’s plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks’ topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology. |
| format | Article |
| id | doaj-art-2e7a4b862cfd4628bd8c96a60f319e8a |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-2e7a4b862cfd4628bd8c96a60f319e8a2025-02-03T06:11:09ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/827376827376A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security IncidentsHui He0Guotao Fan1Jianwei Ye2Weizhe Zhang3Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaIt is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system’s emergency response capabilities, alleviate the cyber attacks’ damage, and strengthen the system’s counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system’s plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks’ topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology.http://dx.doi.org/10.1155/2013/827376 |
| spellingShingle | Hui He Guotao Fan Jianwei Ye Weizhe Zhang A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents The Scientific World Journal |
| title | A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents |
| title_full | A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents |
| title_fullStr | A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents |
| title_full_unstemmed | A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents |
| title_short | A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents |
| title_sort | topology visualization early warning distribution algorithm for large scale network security incidents |
| url | http://dx.doi.org/10.1155/2013/827376 |
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