Survey of Genetic Algorithm Effectiveness in Intrusion Detection

被引:0
作者
Gnanaprasanambikai, L. [1 ]
Munusamy, Nagarajan [1 ]
机构
[1] CMS Coll Sci & Commerce, Coimbatore, Tamil Nadu, India
来源
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL (I2C2) | 2017年
关键词
Softcomputing; GeneticAlgorithm; Intrusion Detection;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intrusion Detection is a technology which is used to provide security to network by preserving security objectives. The Intrusion Detection undergoes many difficulties in construction while providing security to a network. Soft Computing is a research field which encompasses many methods for solving the problems in Intrusion Detection. Genetic Algorithm is a soft computing approach which is build on the concept of survival of fittest is use to solve various difficulties in intrusion detection. This paper surveys the work done by various researchers in different periods and specifies the suitable features of Genetic Algorithm to solve difficulties in intrusion detection. It also reviews the commonly used dataset in intrusion detection for research.
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页数:5
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