| 基于自适应性模型的入侵检测系统研究 |
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| 引用本文： | 仇宏斌,唐志国,史庆周.基于自适应性模型的入侵检测系统研究[J].燕山大学学报,2003,27(2):178-181,184. |
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| 作者姓名： | 仇宏斌 唐志国 史庆周 |
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| 作者单位： | 1. 河北移动通信有限责任公司秦皇岛分公司，秦皇岛 066000
2. 燕山大学信息科学与工程学院，秦皇岛，066004 |
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| 摘 要： | 适应性模型是一种自动建立的基于数据挖掘的入侵检测系统检测模型。在利用入侵检测传感器收集相同数据的同时，系统自动建立适应性模型。由于不需要建立训练集，从而减少了配置入侵检测系统的花费。本文提出了一种自动模型及其系统结构的有效实现，并用算法自动建立了在噪声数据上的异常检测模型。
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| 关 键 词： | 入侵检测系统 自适应性模型 数据挖掘 自动模型 噪声数据 训练数据 |
Study of Intrusion Detection System Based on Adaptive Model |
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| ,.,,.Study of Intrusion Detection System Based on Adaptive Model[J].Journal of Yanshan University,2003,27(2):178-181,184. |
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| Authors: | ,
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| Institution: | (Qiu Hongbin),(Hebei Mobile Communication Co.,Ltd. Qinhuangdao
Branch,Qinhuangdao 066000).
(Tang Zhiguo),(Shi Qingzhou),(The College of Information Science
and Engineering,Yanshan University,Qinhuangdao 066004) |
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| Abstract: | Adaptive model is a detecting model which is automatically built of intrusion detection systems based on data-mining. While using the same data collected by intrusion detection sensors, adaptive model is automatically built. This reduces the configuration cost of intrusion detecting system because it dose not require to build training sets. An automatic model and its system architecture are presented, and an algorithm that automatically builds abnormally detecting models on noisy data is realized. |
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| Keywords: | intrusion detecting (?)a mining training data |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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