Publication Type : Conference Paper
Source : International Conference on Intelligent Computing and Control
Url : https://ieeexplore.ieee.org/document/8321877
Campus : Coimbatore
School : School of Physical Sciences
Department : Mathematics
Year : 2017
Abstract : 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.
Cite this Research Publication : L. Gnanaprasanambikai and N. Munusamy, "Survey of genetic algorithm effectiveness in intrusion detection," 2017 International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India, 2017, pp. 1-5, doi: 10.1109/I2C2.2017.8321877.