Genetic Algorithm based Weight Extraction Algorithm for Artificial Neural Network Classifier in Intrusion Detection

被引：14

作者：

Srinivasu, P. ^{[1
]}

Avadhani, P. S. ^{[2
]}

机构：

[1] Anil Neerukonda Inst Technol & Sci, Dept CSE, Visakhapatnam, Andhra Pradesh, India

[2] Andhra Univ, Dept CS&SE, Visakhapatnam, Andhra Pradesh, India

来源：

INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING | 2012年 / 38卷

关键词：

KDD Dataset; Genetic Algorithms; Intrusion Detection; Artificial Neural Networks;

D O I：

10.1016/j.proeng.2012.06.021

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Neural Networks and Genetic Algorithms are two techniques for optimization and learning, each with its own strengths and weaknesses. The two have generally evolved along separate paths. In this paper we have described a different genetic algorithm which can be used to train the feed forward neural network which is used to identify the Intrusions effectively. We have been succeeded in the process of identifying the intrusions effectively with the proposed GA Weight extraction algorithm. We have classified the connections as normal and abnormal using the obtained weights and computed the accuracy of the proposed model. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education

引用

页码：144 / 153

页数：10

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