An Artificial Immune System Based on Intelligent Agents

Chang Ning Ren; Zhi Hao Peng; Dong Xia Zheng

doi:10.4028/www.scientific.net/AMR.886.673

Paper Titles

Research on Information Technology with Modeling and Simulating of Video Grid
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Information-Applied Technology in Exploration-Internalization Mode
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Information Technology and an Audio Retrieval Method Based on a Novel Audience Rating System
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A New MANET Accessing Internet Method Based on Complex Network
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An Artificial Immune System Based on Intelligent Agents
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The Extended Algorithm of the Bipartite Graph Matching Semantic Web Service Discovery
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Exception Context Reappearance and Analysis for Multi-Role Collaborative Web System
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Component Subnet Combination and its Case Study under the Model of EOOPN
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Study on the Types of EOOPN Subnet Combination
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 886An Artificial Immune System Based on Intelligent...

An Artificial Immune System Based on Intelligent Agents

Abstract:

The use of immune systems in intrusion detection has been a hot spot of research for the past decade. Immune systems have many features that are desirable for the imperfect, uncontrolled, and open environments in which most computers currently exist. It is hoped that biologically inspired approaches in this area, including the use of intelligent agents will be able to meet this challenge. In this paper, we extract some useful mechanisms from natural biological systems together with the use of intelligent agents, in order to develop cost effective computational solutions to complex problems in artificial immune systems. Analysis and evaluation of the system shows that it is robust, fault-tolerant and has low error rate and high detection rate as well.

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Periodical:

Advanced Materials Research (Volume 886)

Pages:

673-676

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.886.673

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Online since:

January 2014

Authors:

Chang Ning Ren, Zhi Hao Peng, Dong Xia Zheng*

Keywords:

Immune System, Intelligent Agent, Intrusion Detection

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* - Corresponding Author

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