Intrusion Detection Expert System of Network Based on Agent

HE Bo

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Intrusion Detection Expert System of Network Based on Agent

更新时间：2026-09-04

- Intrusion Detection Expert System of Network Based on Agent
- Vol. 28, Issue 9, Pages: 93-95(2011)
- 作者机构：
  
  重庆理工大学机构计算机科学与工程学院,重庆,400050
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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何波. 基于Agent的网络入侵检测专家系统[J]. 微电子学与计算机, 2011, 28(9): 93-95,99.

HE Bo. Intrusion Detection Expert System of Network Based on Agent[J]. 2011, 28(9): 93-95.
何波. 基于Agent的网络入侵检测专家系统[J]. 微电子学与计算机, 2011, 28(9): 93-95,99. DOI：

HE Bo. Intrusion Detection Expert System of Network Based on Agent[J]. 2011, 28(9): 93-95. DOI：

摘要

大多数网络入侵检测专家系统采用单一的推理机制.而基于规则推理和基于事例推理这两种推理机制各有优缺点

采用单一推理机制会降低入侵检测的准确性.文中提出了基于规则和事例的入侵检测混合推理机制.在此基础上

设计了一个基于Agent的网络入侵检测专家系统 (AIDES).实验结果表明

文中设计的AIDES是有效的.

Abstract

Most intrusion detection expert system of network adopted single reasoning mechanism.However

rule-based reasoning or case-based reasoning had advantages and disadvantages.The adoption of single reasoning mechanism would lead to inaccurate intrusion detection.The paper proposed mixed reasoning mechanism based on rule-based reasoning and case-based reasoning.On the base of this

the paper designed an intrusion detection expert system of network based on agent

namely AIDES.The experiments indicate that AIDES is effective.

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