A Novel Approach for Intrusion Detection System Using Artificial Immune System

2012 ◽  
pp. 221-229 ◽  
Author(s):  
Akanksha Parashar ◽  
Praneet Saurabh ◽  
Bhupendra Verma
Keyword(s):  
Immune System ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Artificial Immune System ◽  
Detection System ◽  
Artificial Immune ◽  
Novel Approach

scholarly journals A Review of Feature Reduction in Intrusion Detection System Based on Artificial Immune System and Neural Network

2013 ◽  
Vol 9 (3) ◽  
pp. 1127-1133
Author(s):  
Uma Vishwakarma ◽  
Prof. Anurag Jain ◽  
Prof. Akriti Jain
Keyword(s):  
Neural Network ◽  
Immune System ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Artificial Immune System ◽  
Detection System ◽  
Reduction Process ◽  
Feature Reduction ◽  
Dynamic Feature ◽  
Artificial Immune

Feature reduction plays an important role in intrusion detection system. The large amount of feature in network as well as host data effect the performance of intrusion detection method. Various authors are research proposed a method of intrusion detection based on machine learning approach and neural network approach, but all of these methods lacks in large number of feature attribute in intrusion data. In this paper we discuss its various method of feature reduction using artificial immune system and neural network. Artificial immune system is biological inspired system work as mathematical model for feature reduction process. The neural network well knows optimization technique in other field. In this paper we used neural network as feature reduction process. The feature reduction process reduces feature of intrusion data those are not involved in security threats and attacks such as TCP protocol, UDP protocol and ICMP message protocol. This reduces feature-set of intrusion improve the classification rate of intrusion detection and improve the speed performance of the intrusion detection system. The current research going on fixed and static number of feature reduction, we proposed an automatic and dynamic feature reduction technique using PCNN network.

scholarly journals Intrusion Detection System using Artificial Immune System

2016 ◽  
Vol 144 (12) ◽  
pp. 19-22 ◽  
Author(s):  
Inadyuti Dutt ◽  
Samarjeet Borah ◽  
Indrakanta Maitra
Keyword(s):  
Immune System ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Artificial Immune System ◽  
Detection System ◽  
Artificial Immune

A Research into an Intrusion Detection System Based on Immune Principle and Multi-Agent in WSN

2012 ◽  
Vol 433-440 ◽  
pp. 5157-5161
Author(s):  
Zhi Yue Liu ◽  
Jian Wang
Keyword(s):  
Immune System ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Artificial Immune System ◽  
Detection System ◽  
Agent Technology ◽  
Artificial Immune ◽  
Systematic Analysis ◽  
Practical Applications ◽  
Multi Agent

Along with deep-going researches and practical applications of Wireless Sensor Network, security issues contained therein are raising a growing concern. Based on a systematic analysis of the current intrusion detection system and with integration between the mechanism of artificial immune system and multi-agent technology, the paper provides with a new model of an intrusion detection system based on artificial immune system and multi-agent technology, and further introduces the functions of agents in the model as well as the process of antibody selection.

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