| 基于免疫算法的入侵检测系统特征选择 |
| |
| 引用本文： | 朱永宣,单莘,郭军. 基于免疫算法的入侵检测系统特征选择[J]. 微电子学与计算机, 2007, 24(3): 20-22,26 |
| |
| 作者姓名： | 朱永宣 单莘 郭军 |
| |
| 作者单位： | 北京邮电大学,信息工程学院,北京,100876 |
| |
| 基金项目： | 国家自然科学基金;教育部跨世纪优秀人才培养计划 |
| |
| 摘 要： | 入侵检测系统中的特征选择是一个组合优化问题。为了有效地进行特征选择，提出一种结合进化思想的免疫算法。算法中的免疫记忆单元确保了快速收敛于全局最优解，算法中的均匀交叉操作则体现了进化的思想。提出一个基于神经网络的入侵检测系统模型．该模型具有多分类．易于更新系统使其快速适应新型入侵的特点。在KDDCUP’99上的实验表明该算法是有效的。
|
| 关 键 词： | 入侵检测系统 免疫算法 记忆单元 神经网络 |
| 文章编号： | 1000-7180（2007）03-0020-03 |
| 修稿时间： | 2006-03-15 |
Feature Selection Based on Immune Algorithm in Intrusion Detection System |
| |
| ZHU Yong-xuan,SHAN Xin,GUO Jun. Feature Selection Based on Immune Algorithm in Intrusion Detection System[J]. Microelectronics & Computer, 2007, 24(3): 20-22,26 |
| |
| Authors: | ZHU Yong-xuan SHAN Xin GUO Jun |
| |
| Affiliation: | School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
| |
| Abstract: | Feature selection in intrusion detection system is an optimization problem. An immune algorithm combined evolutional spirit is proposed in this paper in order to select features effectively. The immune memory units guarantee this algorithm rapid convergence to global optimum and the uniform crossover operator embody the idea of evolution. Furthermore, a model of intrusion detection system based on Neural Networks is presented. The model characterizes itself in muticlassifications and updating easily to adapt new intrusion modes. Experiments on KDD CUP'99 indicate the effectiveness of this algorithm presented in this paper. |
| |
| Keywords: | intrusion detection system immune algorithm memory unit neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
