An efficient intrusion detection system based on support vector machines and gradually feature removal method

Authors:
Yinhui Li;Jingbo Xia;Silan Zhang;Jiakai Yan;Xiaochuan Ai;Kuobin Dai
Affiliations:
College of Science, Huazhong Agricultural University, Wuhan, Hubei, China;College of Science, Huazhong Agricultural University, Wuhan, Hubei, China;College of Science, Huazhong Agricultural University, Wuhan, Hubei, China;College of Science, Huazhong Agricultural University, Wuhan, Hubei, China;College of Science, Navy Engineering University, Wuhan, Hubei, China;College of Math and Info Science, Huanggang Normal University, Huanggang, Hubei, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 12
Cited 4

Wrappers for feature subset selection

Artificial Intelligence - Special issue on relevance
Training ν-Support Vector Classifiers: Theory and Algorithms

Neural Computation
Identifying Intrusions in Computer Networks with Principal Component Analysis

ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Anomaly-Based Intrusion Detection using Fuzzy Rough Clustering

ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01
Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection

Pattern Recognition
A new intrusion detection system using support vector machines and hierarchical clustering

The VLDB Journal — The International Journal on Very Large Data Bases
Design of multiple-level hybrid classifier for intrusion detection system using Bayesian clustering and decision trees

Pattern Recognition Letters
A triangle area based nearest neighbors approach to intrusion detection

Pattern Recognition
Review: The use of computational intelligence in intrusion detection systems: A review

Applied Soft Computing
An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks

Expert Systems with Applications: An International Journal
CARRADS: Cross layer based adaptive real-time routing attack detection system for MANETS

Computer Networks: The International Journal of Computer and Telecommunications Networking
A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering

Expert Systems with Applications: An International Journal

Review: Intrusion detection system: A comprehensive review

Journal of Network and Computer Applications
Survey An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique

Engineering Applications of Artificial Intelligence
Performance analysis of machine learning algorithms for intrusion detection in MANETs

International Journal of Wireless and Mobile Computing
A novel intrusion detection system based on feature generation with visualization strategy

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

The efficiency of the intrusion detection is mainly depended on the dimension of data features. By using the gradually feature removal method, 19 critical features are chosen to represent for the various network visit. With the combination of clustering method, ant colony algorithm and support vector machine (SVM), an efficient and reliable classifier is developed to judge a network visit to be normal or not. Moreover, the accuracy achieves 98.6249% in 10-fold cross validation and the average Matthews correlation coefficient (MCC) achieves 0.861161.