Application of RBF Network in Intrusion Detection

Abstract

Abstract: As a mature technology, BP neural networks have been applied in the field of intrusion detection for several years. However, due to its property limitation of local minimization, it's hard to improve its detection performances. Therefore, the authors make studies on the application of RBF networks in intrusion detection, aiming at its property of optimal approximation. Experiments show its fine detecting performances.

摘要： 近年来，BP神经网络因为技术成熟在入侵检测中得到了若干应用，但是其本身所具有的局部极小性质限制了检测性能的提高。针对RBF神经网络所具有的最优逼近性质，对其在入侵检测中的应用作了研究。实验证明，RBF网络能够提高入侵检测性能。

关键词: 入侵检测, RBF网络, 训练

CLC Number:

TANG Zhengjun1,LIU Daizhi2. Application of RBF Network in Intrusion Detection[J]. , 2003, 29(08): 43-45.

唐正军,刘代志. 径向基函数(RBF)网络在入侵检测中的应用[J]. , 2003, 29(08): 43-45.

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URL: https://www.ecice06.com/EN/Y2003/V29/I08/43

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