A Hybrid Feature Selection Method for Improved Detection of Wired/Wireless Network Intrusions

[1]  Yaochu Jin,et al.  Feature selection for high-dimensional classification using a competitive swarm optimizer , 2016, Soft Computing.

[2]  Jugal K. Kalita,et al.  A multi-step outlier-based anomaly detection approach to network-wide traffic , 2016, Inf. Sci..

[3]  Md. Al Mehedi Hasan,et al.  Feature Selection for Intrusion Detection Using Random Forest , 2016 .

[4]  A. Malathi,et al.  A Detailed Analysis on NSL-KDD Dataset Using Various Machine Learning Techniques for Intrusion Detection , 2013 .

[5]  Dan Wang,et al.  An Effective Feature Selection Approach for Network Intrusion Detection , 2013, 2013 IEEE Eighth International Conference on Networking, Architecture and Storage.

[6]  Maurice Pillet,et al.  Inertial tolerancing and acceptance sampling. , 2013 .

[7]  Ashraf Darwish,et al.  Principle components analysis and Support Vector Machine based Intrusion Detection System , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

[8]  Slobodan Petrovic,et al.  A Comparison of Feature-Selection Methods for Intrusion Detection , 2010, MMM-ACNS.

[9]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[10]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[11]  Ron Kohavi Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid , 1996, KDD.

[12]  Robert C. Holte,et al.  Very Simple Classification Rules Perform Well on Most Commonly Used Datasets , 1993, Machine Learning.

[13]  S. Cessie,et al.  Ridge Estimators in Logistic Regression , 1992 .

[14]  R. Setchi,et al.  Expert Systems With Applications , 2015 .

[15]  อนิรุธ สืบสิงห์ Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[16]  Dr. A. Malathi,et al.  Network Intrusion Detection Using Hybrid Simplified Swarm Optimization and Random Forest Algorithm on Nsl-Kdd Dataset , 2014 .

[17]  Nikita Gupta,et al.  FEATURE SELECTION AND CLASSIFICATION OF INTRUSION DETECTION SYSTEM USING ROUGH SET , 2013 .

[18]  Hee-su Chae,et al.  Feature Selection for Intrusion Detection using NSL-KDD , 2013 .

[19]  Azween Abdullah,et al.  Intrusions Detection based on Optimum Features Subset and Efficient Dataset Selection , 2012 .

[20]  Remco R. Bouckaert,et al.  Bayesian Network Classifiers in Weka for Version 3-5-7 , 2007 .

[21]  D. Kibler,et al.  Instance-based learning algorithms , 2004, Machine Learning.

[22]  Mark A. Hall,et al.  Correlation-based Feature Selection for Machine Learning , 2003 .

[23]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..