A Security Threats Taxonomy for Routing System Intrusion Detection

被引:0
作者
Miao Fu [1 ]
Wang Zhenxing [1 ]
Guo Yi [1 ]
Zhang Liancheng [1 ]
机构
[1] State Key Lab Math Engn & Adv Comp, Zhengzhou, Peoples R China
来源
PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2016年
基金
中国国家自然科学基金;
关键词
routing system; security threats; attack layer; attack vector; target;
D O I
10.1109/CIS.2016.67
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Security threats against routing system have become both increasingly numerous and sophisticated recently. However, so far there is not a taxonomy that could be useful for the routing system security threats. In this paper, a clear-cut and scalable taxonomy faced to routing system security threats was proposed. It consisted of four basic dimensions which provided a holistic classification in order to deal with inherent problems in the routing system security threats field. The four dimensions included attack layer, attack vector, attack target and attack effect. Besides the above dimensions, a number of further dimensions were added to enhance the taxonomy.
引用
收藏
页码:267 / 270
页数:4
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