| 基于神经网络与证据组合推理的入侵检测方法 |
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| 引用本文： | 严宣辉.基于神经网络与证据组合推理的入侵检测方法[J].福建师范大学学报(自然科学版),2005,21(1):20-24. |
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| 作者姓名： | 严宣辉 |
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| 作者单位： | 福建师范大学数学与计算机科学学院,福建,福州,350007 |
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| 摘 要： | 给出一种智能神经网络与证据组合推理相结合的网络入侵检测方法,将神经网络检测结果认为是"证据",并引入D-S证据理论进行组合推理,为解决连续时间序列入侵行为判别的问题提供了一种新方法,并且能提高入侵检测的判别精度。
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| 关 键 词： | 入侵检测 神经网络 证据理论 组合推理 |
| 文章编号： | 1000-5277(2005)01-0020-05 |
| 修稿时间： | 2004年9月9日 |
Intrusion Detection Method Base on Neural Network and Evidence Combinational Reasoning |
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| YAN Xuan-hui.Intrusion Detection Method Base on Neural Network and Evidence Combinational Reasoning[J].Journal of Fujian Teachers University(Natural Science),2005,21(1):20-24. |
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| Authors: | YAN Xuan-hui |
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| Abstract: | Describes an intrusion detection method based on neural network and evidence combinational reasoning. The detection result of neural-network's detection is considered as evidence.Introduces D-S evidence theory to do combinational reasoning. It provides a new method for effective solving the detection of continuous intrusion conduct. Moreover it can enhance the detection precision of intrusion detection. |
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| Keywords: | intrusion detection neural network evidence theory combinational reasoning |
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