Full Coverage Detection of Immune Detector for Public Data Set

被引：0
|
作者：
Liu, Caiming [1 ,2 ,3 ]
Zhang, Yan [1 ,2 ,3 ]
Li, Qin [1 ,3 ]
Xiao, Luxin [1 ,2 ]
机构：
[1] Leshan Normal Univ, Sch Artificial Intelligence, Leshan, Peoples R China
[2] Leshan Normal Univ, Intelligent Network Secur Detect & Evaluat Lab, Leshan, Peoples R China
[3] Leshan Normal Univ, Internet Nat Language Intelligent Proc Key Lab, Educ Dept Sichuan Prov, Leshan, Peoples R China
来源：
2020 16TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2020) | 2020年
关键词：
Public Data Set; KDD CUP'99; Immune Mechanism; Detector; Full Coverage Detection; INTRUSION DETECTION; SYSTEMS;
D O I：
10.1109/CIS52066.2020.00072
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The immune mechanism plays an unique role in improving the performance of network intrusion detection. However, the traditional immune method fails to give full play to the detection performance of the immune mechanism In order to solve the above problems, this paper uses KDD CUP'99 as the detection object, and a network anomaly detection method with full coverage of immune detectors is proposed. Based on the immune principle, the intrusion detection process for the data set to be detected is constructed, the expression method of network connection is defined, the immune element data set under the intrusion detection environment are simulated, the classification detection mechanism of memory detector is defined, and the full coverage detection of the detected antigen is realized. A network connection similarity computing method based on the characteristics of the data set to be detected is proposed. The experimental scheme was constructed and the experiment was carried out. The experimental results show that the detection method proposed in this paper can detect all antigens with full coverage and has high performance of intrusion detection.
引用
收藏
页码：308 / 312
页数：5
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