Research on Dynamic Collaborative Mechanism of Intrusion Detection Based on Multi-Agent

ZHANG Ran; LIU Yang; YIN Yi-feng; GAN Yong

Chinese

您当前的位置：

首页 >

文章列表页 >

Research on Dynamic Collaborative Mechanism of Intrusion Detection Based on Multi-Agent

更新时间：2026-09-04

- Research on Dynamic Collaborative Mechanism of Intrusion Detection Based on Multi-Agent
- Vol. 30, Issue 8, Pages: 57-62(2013)
- 作者机构：
  
  郑州轻工业学院机构计算机与通信工程学院,河南,郑州,450002
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
移动端阅览
张然, 刘洋, 尹毅锋, 甘勇. 基于Multi-Agent的入侵检测动态协同机制研究[J]. 微电子学与计算机, 2013, 30(8): 57-62.

ZHANG Ran, LIU Yang, YIN Yi-feng, et al. Research on Dynamic Collaborative Mechanism of Intrusion Detection Based on Multi-Agent[J]. 2013, 30(8): 57-62.
张然, 刘洋, 尹毅锋, 甘勇. 基于Multi-Agent的入侵检测动态协同机制研究[J]. 微电子学与计算机, 2013, 30(8): 57-62. DOI：

ZHANG Ran, LIU Yang, YIN Yi-feng, et al. Research on Dynamic Collaborative Mechanism of Intrusion Detection Based on Multi-Agent[J]. 2013, 30(8): 57-62. DOI：

摘要

对一种基于 Multi-agent 的动态协同入侵检测模型进行了定义，对检测代理之间的协作机制及其安全性以及检测代理之间的通信机制及其安全性进行了分析和讨论，并在此基础上给出了该模型的协同检测算法。检测代理的分层组织结构便于对协同检测进行管理和控制；协调代理进行协同检测前通过加锁操作来保证代理之间协作的安全性；检测代理通信时通过身份验证来保证代理之间通信的安全性。该模型的协同机制和安全措施提高了入侵检测的准确性。

Abstract

In this paper

a dynamic collaborative intrusion detection model based on multi-agent is defined

the collaboration mechanism between the detection agents and its security

communication mechanism between the detection agents and its security are analyzed and discussed.On the basis

the collaborative detection algorithm of this model is given.The hierarchical organizational structure of the detection agents facilitates the management and control of the collaborative detection;the coordination agents ensure the security of collaboration between agents by the locking operation before collaborative detection;the coordination agents ensure the security of communication between agents through authentication during communication.The collaborative mechanisms and security measures of this model improve the accuracy of the intrusion detection.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A traffic anomaly detection model integrating class-selective encoder and CTGAN

An improved intrusion detection method for GraphSAGE

Improved grey wolf optimization algorithm for intrusion detection feature selection

Based ontwice decision for deep learning intrusion detection model

Research on the Calculation Method of Network Data Invasion Route Map

Related Author

YANG Zi

WU Cong

JIN Haibo

WANG Jinwei

CHEN Hong

LIU Shifeng

SHEN Xueli

BAO Jie

Related Institution

College of Software, Liaoning University of Engineering Technology

College of Innovation Practice, Liaoning University of Engineering Technology

College of Software, Liaoning Technical University

School of Electronic Information, Guangxi Minzu University

Guilin University of Electronic Technology Guangxi Key Laboratory of Imageand Graphic Intelligent Processing, Guilin University of Electronic Technology

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰