Model of cyberspace threat early warning based on cross-domain and collaboration
The development of network threat shows the characteristics of initiative,concealment and ubiquity.It poses a severe challenge to the passive,local and isolated traditional network defense mode.In view of the new trend of integration of big data,artificial intelligence and network security,a cross-d...
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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2020-12-01
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Series: | 网络与信息安全学报 |
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Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020078 |
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author | Gang XIONG Yuwei GE Yanjie CHU Weiquan CAO |
author_facet | Gang XIONG Yuwei GE Yanjie CHU Weiquan CAO |
author_sort | Gang XIONG |
collection | DOAJ |
description | The development of network threat shows the characteristics of initiative,concealment and ubiquity.It poses a severe challenge to the passive,local and isolated traditional network defense mode.In view of the new trend of integration of big data,artificial intelligence and network security,a cross-domain collaborative network threat early warning model was proposed,which could enable and increase efficiency for cyberspace security.Firstly,starting from the overall structure of the protected network space,the model constructs a cross-domain function framework with the vertical and horizontal conjunction by dividing the security threat domain,decomposing the system function,designing the information sharing mechanism.Secondly,to enhance the ability of threat information detection,the collaborative technology architecture is designed by the logic of hierarchical management,and the key technologies involved in threat information perception,processing and application,are systematically introduced.Finally,with the help of application scenarios,qualitatively the capability increment of the proposed threat early warning model was described. |
format | Article |
id | doaj-art-88dadcefdf3c466f9b325c2bf9ad2d9c |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2020-12-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-88dadcefdf3c466f9b325c2bf9ad2d9c2025-01-15T03:14:33ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-12-016889659561906Model of cyberspace threat early warning based on cross-domain and collaborationGang XIONGYuwei GEYanjie CHUWeiquan CAOThe development of network threat shows the characteristics of initiative,concealment and ubiquity.It poses a severe challenge to the passive,local and isolated traditional network defense mode.In view of the new trend of integration of big data,artificial intelligence and network security,a cross-domain collaborative network threat early warning model was proposed,which could enable and increase efficiency for cyberspace security.Firstly,starting from the overall structure of the protected network space,the model constructs a cross-domain function framework with the vertical and horizontal conjunction by dividing the security threat domain,decomposing the system function,designing the information sharing mechanism.Secondly,to enhance the ability of threat information detection,the collaborative technology architecture is designed by the logic of hierarchical management,and the key technologies involved in threat information perception,processing and application,are systematically introduced.Finally,with the help of application scenarios,qualitatively the capability increment of the proposed threat early warning model was described.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020078Network defenseartificial intelligencebig traffic data |
spellingShingle | Gang XIONG Yuwei GE Yanjie CHU Weiquan CAO Model of cyberspace threat early warning based on cross-domain and collaboration 网络与信息安全学报 Network defense artificial intelligence big traffic data |
title | Model of cyberspace threat early warning based on cross-domain and collaboration |
title_full | Model of cyberspace threat early warning based on cross-domain and collaboration |
title_fullStr | Model of cyberspace threat early warning based on cross-domain and collaboration |
title_full_unstemmed | Model of cyberspace threat early warning based on cross-domain and collaboration |
title_short | Model of cyberspace threat early warning based on cross-domain and collaboration |
title_sort | model of cyberspace threat early warning based on cross domain and collaboration |
topic | Network defense artificial intelligence big traffic data |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020078 |
work_keys_str_mv | AT gangxiong modelofcyberspacethreatearlywarningbasedoncrossdomainandcollaboration AT yuweige modelofcyberspacethreatearlywarningbasedoncrossdomainandcollaboration AT yanjiechu modelofcyberspacethreatearlywarningbasedoncrossdomainandcollaboration AT weiquancao modelofcyberspacethreatearlywarningbasedoncrossdomainandcollaboration |