| 基于AdaBoost和概率神经网络的入侵检测算法 |
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| 引用本文： | 陈春玲,商子豪.基于AdaBoost和概率神经网络的入侵检测算法[J].南京师范大学学报,2008,8(4):21-24. |
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| 作者姓名： | 陈春玲 商子豪 |
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| 作者单位： | 南京邮电大学计算机学院,江苏南京210003 |
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| 摘 要： | 将AdaBoost算法和概率神经网络结合,提出了一种新的概率神经网络模型ABPNN,基于此模型提出一种新的入侵检测算法.该算法对接收到的网络数据进行分析判断,实现入侵方式的自动分类,并且能对新的入侵行为进行分类和记忆.实验证明该算法在入侵检测系统的检测率和误报率方面都有优越的性能表现.
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| 关 键 词： | 入侵检测 概率神经网络 AdaBoost ABPNN |
Algorithm of Network Intrusion Detection Based on AdaBoost and PNN |
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| Chen Chunling,Shang Zihao.Algorithm of Network Intrusion Detection Based on AdaBoost and PNN[J].Journal of Nanjing Nor Univ: Eng and Technol,2008,8(4):21-24. |
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| Authors: | Chen Chunling Shang Zihao |
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| Affiliation: | College of Computer Science;Nanjing University of Posts and Telecommunications;Nanjing 210003;China |
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| Abstract: | By combining AdaBoost algorithm with probabilistic neural network(PNN),a new probabilistic neural network(ABPNN) model is proposed.Based on this model,a new intrusion detection algorithm is suggested.This algorithm analyzes and estimates the network data received,realizes the acctomatic sorting of intrusion methods,and at the same time sorts and memorizes new types of intrusion methods.Experiments show that the proposed algorithm can get better performance in detection rate and alarm rate. |
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| Keywords: | AdaBoost ABPNN |
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