Research of Network Monitoring Management System Based on Artificial Immune

Jian Hong Ma; Li Xia Ji

doi:10.4028/www.scientific.net/AMR.648.285

Paper Titles

Assessment on Vegetation Dynamics under Climate Change for Energy Saving with Satellite Data and Geographically Weighted Regression
p.265

Study on the Practice of Electrical Controlling with Mechanical Properties and Engineering Properties
p.273

Shrew Attack on Internet Congestion Control Protocol in Control Engineering
p.277

Design of Intelligent Telephone Alarm System with Intelligent Control System
p.281

Research of Network Monitoring Management System Based on Artificial Immune
p.285

Quality Control and Optimization of Concrete Pump Truck Painting Line Based on Properties of Mechanical Materials
p.289

Application of Feedback Linearization Control for Optimal Power Tracking with Energy in Wind Power Generation System
p.293

Research and Design of Intelligent Greenhouse Temperature Control System for Energy Saving
p.297

Global MPPT Control of Solar Photovoltaic System for Energy Saving Based on the Fuzzy Strategy
p.301

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 648Research of Network Monitoring Management System...

Research of Network Monitoring Management System Based on Artificial Immune

Abstract:

In order to solve the traditional network monitor management system fault detection of slow problem,adaptive differential of high false alarm rate we built network monitor system model combined with the artificial immune principle.Through artificial immune "self" and "non-self" recognition ability network monitoring algorithm simulated the matching,negative selection,memory mechanism of artificial immune system detection of network fault.Throughout the design process,we studied the biological immune characteristics,antibody affinity and concentration of concepts the antibody selection probability algorithm was proposed.The algorithm enhanced new antibody generation mechanisms,memory mechanism the and tolerance of the system to establish the network monitoring system provides the theoretical model.

You might also be interested in these eBooks

Advanced Research on Material, Energy and Control Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 648)

Pages:

285-288

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.648.285

Citation:

Cite this paper

Online since:

January 2013

Authors:

Jian Hong Ma, Li Xia Ji

Keywords:

Antibody Concentration, Antibody Selection Probability, Artificial Immune, Network Monitoring Management System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Sun J,Feng B,Xu W B.Particle swarm optimization with parti-cles having quantum behavior[C]//Proceedings of 2004 Con-gress on Evolutionary Computation,USA,2004:325-331.

DOI: 10.1109/cec.2004.1330875

Google Scholar

[2] LI Yongzhong,XU Jing,LUO Jun,sheng,SUN Yan.Intrusion Detection System Based on Immune Agent[J].Computer Science,2008,35(12):122-125

Google Scholar

[3] WANG Jun, ZHAO Xiaozhe,ZHANG Yinghan, WANG Buyun.Cooperative Air-defense System of System Model for Surface Warship Formation Based on Immune Multi-agent[J].Journal of System Simulation.2012,24(2):263-268

DOI: 10.1109/icawst.2011.6163151

Google Scholar

[4] LIU Tao,PI Guo qiang.Application of Immune Algorithm in Network Intrusion Detection[J]. Computer Simulation,2011,28(11):91-94

Google Scholar