| Immune Based Intrusion Detector Generating Algorithm |
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| 作者姓名： | DONGXiao-mei YUGe XIANGGuang |
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| 作者单位： | SchoolofInformationScienceandEngineering,NortheasternUniversity,Shenyang110004,Liaoning,China |
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| 基金项目： | SupportedbytheNational863HighTechProgram(2003AA414210),theNationalNaturalScienceFoundationofChina(60173051),theNationalResearchFoundationfortheDoctoralProgramofHigherEducationofChina(20030145029)andTeachingandResearchAwardProgramforOutstandingYoungTeachersinHigherEducationInstitutionoftheMinistryofEducation |
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| 摘 要： | Immune-based intrusion detection approaches are studied. The methods of constructing self set and generating mature detectors are researched and improved. A binary encoding based self set construction method is applied. First, the traditional mature detector generating algorithm is improved to generate mature detectors and detect intrusions faster. Then, a novel mature detector generating algorithm is proposed based on the negative selection mechanism. According to the algorithm, less mature detectors are needed to detect the abnormal activities in the network. Therefore, the speed of generating mature detectors and intrusion detection is improved. By comparing with those based on existing algorithms, the intrusion detection system based on the algorithm has higher speed and accuracy.
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| 关 键 词： | 入侵检测 免疫设计 生成算法 探测器 计算机网络 网络安全 |
| 收稿时间： | 15 May 2004 |
Immune based intrusion detector generating algorithm |
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| DONGXiao-mei YUGe XIANGGuang.Immune Based Intrusion Detector Generating Algorithm[J].Wuhan University Journal of Natural Sciences,2005,10(1):147-151. |
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| Authors: | Dong Xiao-mei Yu Ge Xiang Guang |
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| Institution: | (1) School of Information, Science and Engineering, Northeastern University, 110004, Liaoning Shenyang, China |
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| Abstract: | Immune-based intrusion detection approaches are studied. The methods of constructing self set and generating mature detectors are researched and improved. A binary encoding based self set construction method is applied. First, the traditional mature detector generating algorithm is improved to generate mature detectors and detect intrusions faster. Then, a novel mature detector generating algorithm is proposed based on the negative selection mechanism. According to the algorithm, less mature detectors are needed to detect the abnormal activities in the network. Therefore, the speed of generating mature detectors and intrusion detection is improved. By comparing with those based on existing algorithms, the intrusion detection system based on the algorithm has higher speed and accuracy. |
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| Keywords: | immune intrusion detection negative selection self set mature detector |
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