A comprehensive survey and taxonomy of the SVM-based intrusion detection systems

A novel statistical technique for intrusion detection systems

(2018) Enamul Kabir et al.   Future Generation Computer Systems-The International Journal of eScience

A novel weighted support vector machines multiclass classifier based on differential evolution for intrusion detection systems

(2017) Abdulla Amin Aburomman et al.   INFORMATION SCIENCES

Fuzziness based semi-supervised learning approach for intrusion detection system

(2017) Rana Aamir Raza Ashfaq et al.   INFORMATION SCIENCES

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

(2017) M.R. Gauthama Raman et al.   KNOWLEDGE-BASED SYSTEMS

An effective intrusion detection framework based on SVM with feature augmentation

(2017) Huiwen Wang et al.   KNOWLEDGE-BASED SYSTEMS

Real-time multi-agent system for an adaptive intrusion detection system

(2017) Wathiq Laftah Al-Yaseen et al.   PATTERN RECOGNITION LETTERS

A novel SVM-kNN-PSO ensemble method for intrusion detection system

(2016) Abdulla Amin Aburomman et al.   APPLIED SOFT COMPUTING

Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

(2016) Mohammed A. Ambusaidi et al.   IEEE TRANSACTIONS ON COMPUTERS

An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

(2016) Seyed Mojtaba Hosseini Bamakan et al.   NEUROCOMPUTING

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

(2016) Sarah M. Erfani et al.   PATTERN RECOGNITION

An overview on semi-supervised support vector machine

(2015) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid method consisting of GA and SVM for intrusion detection system

(2015) B. M. Aslahi-Shahri et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems

(2015) Hamid Bostani et al.   SOFT COMPUTING

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Selection of Candidate Support Vectors in incremental SVM for network intrusion detection

(2014) Roshan Chitrakar et al.   COMPUTERS & SECURITY

A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection

(2014) Fangjun Kuang et al.   SOFT COMPUTING

Mining network data for intrusion detection through combining SVMs with ant colony networks

(2013) Wenying Feng et al.   Future Generation Computer Systems-The International Journal of eScience

Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components

(2013) Iftikhar Ahmad et al.   NEURAL COMPUTING & APPLICATIONS

Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection

(2013) Weiming Hu et al.   IEEE Transactions on Cybernetics

Laplacian smooth twin support vector machine for semi-supervised classification

(2013) Wei-Jie Chen et al.   International Journal of Machine Learning and Cybernetics

An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection

(2012) Shih-Wei Lin et al.   APPLIED SOFT COMPUTING

Intelligent Agent-Based Intrusion Detection System Using Enhanced Multiclass SVM

(2012) S. Ganapathy et al.   Computational Intelligence and Neuroscience

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

(2011) Yinhui Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimized intrusion detection mechanism using soft computing techniques

(2011) Iftikhar Ahmad et al.   TELECOMMUNICATION SYSTEMS

Incremental SVM based on reserved set for network intrusion detection

(2010) Yang Yi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel intrusion detection system based on hierarchical clustering and support vector machines

(2010) Shi-Jinn Horng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Anomaly detection combining one-class SVMs and particle swarm optimization algorithms

(2010) Jiang Tian et al.   NONLINEAR DYNAMICS