Notice Board: Call for Paper Vol. 6 Issue 10      Submission Start Date: September 30, 2019      Acceptence Notification Start: October 12, 2019      Submission End: October 18, 2019      Final MenuScript Due: October 22, 2019      Publication Date: October 31, 2019






Volume 6 Issue 9

Author Name
SAGAR PANCHTILAK, BHAWANA PILLAI
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 9
Abstract
Feature selection and optimization of features is important area of research in intrusion detection system. The optimization and selection of features enhanced the process of detection of unknow types of attack in intrusion detection. Now a day’s various features optimization and selection algorithms used such as filter based, wrapper based, and hybrid based. In series of feature selection and optimization filter-based selection technique did not require any optimization algorithms, its directly select the features without optimization. The swarm intelligence play an important role in selection of features and optimization of features. In this paper present the review of features selection and feature optimization based on swarm intelligence. The swarm intelligence offers various algorithms such as ant colony optimization, particle swarm optimization, glow warm optimization, ABC and many more bio-inspired algorithms for the processing of features optimization
PaperID
2019/06/IJMERT/09/365



Notice Board :

Call for Paper
Vol. 6 Issue 10

Submission Start Date:
September 30, 2019

Acceptence Notification Start:
October 12, 2019

Submission End:
October 18, 2019

Final MenuScript Due:
October 22, 2019

Publication Date:
October 31, 2019