| 径向基函数(RBF)网络在入侵检测中的应用 |
| |
| 引用本文： | 唐正军,刘代志. 径向基函数(RBF)网络在入侵检测中的应用[J]. 计算机工程, 2003, 29(8): 39-41 |
| |
| 作者姓名： | 唐正军 刘代志 |
| |
| 作者单位： | 1. 上海交通大学现代通信研究所,上海,200030
2. 第二炮兵工程学院602室,西安,710025 |
| |
| 基金项目： | 国家自然科学基金重点项目“信息防护关键技术研究”(69931040) |
| |
| 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 |
| 文章编号： | 1000-3428(2003)08-0039-03 |
| 修稿时间： | 2002-05-08 |
Application of RBF Network in Intrusion Detection |
| |
| TANG Zhengjun,LIU Daizhi. Application of RBF Network in Intrusion Detection[J]. Computer Engineering, 2003, 29(8): 39-41 |
| |
| Authors: | TANG Zhengjun LIU Daizhi |
| |
| Affiliation: | TANG Zhengjun1,LIU Daizhi2 |
| |
| 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. |
| |
| Keywords: | Intrusion detection RBF network Training |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
