Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Machine Learning
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Consistency Based Feature Selection
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Anomaly Detection Enhanced Classification in Computer Intrusion Detection
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
Stateful Intrusion Detection for High-Speed Networks
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
Building lightweight intrusion detection system based on random forest
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
CISC'05 Proceedings of the First SKLOIS conference on Information Security and Cryptology
Fusions of GA and SVM for anomaly detection in intrusion detection system
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Feature selection techniques for maximum entropy based biomedical named entity recognition
Journal of Biomedical Informatics
Intrusion Detection Based on Back-Propagation Neural Network and Feature Selection Mechanism
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
A comparison of feature-selection methods for intrusion detection
MMM-ACNS'10 Proceedings of the 5th international conference on Mathematical methods, models and architectures for computer network security
A two-tier system for web attack detection using linear discriminant method
ICICS'10 Proceedings of the 12th international conference on Information and communications security
Improving Effectiveness of Intrusion Detection by Correlation Feature Selection
International Journal of Mobile Computing and Multimedia Communications
A single-domain, representation-learning model for big data classification of network intrusion
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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The Intrusion detection system deals with huge amount of data which contains irrelevant and redundant features causing slow training and testing process, higher resource consumption as well as poor detection rate. Feature selection, therefore, is an important issue in intrusion detection. In this paper we introduce concepts and algorithms of feature selection, survey existing feature selection algorithms in intrusion detection systems, group and compare different algorithms in three broad categories: filter, wrapper, and hybrid. We conclude the survey by identifying trends and challenges of feature selection research and development in intrusion detection system.