The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms

(2019) Jiadong Ren et al.   Security and Communication Networks

Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network

(2019) Yanqing Yang et al.   SENSORS

Improvement in Hadoop performance using integrated feature extraction and machine learning algorithms

(2019) C. K. Sarumathiy et al.   SOFT COMPUTING

An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming

(2019) Celestine Iwendi et al.   Electronics

An intrusion detection system based on combining probability predictions of a tree of classifiers

(2018) Ahmed Ahmim et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

A machine learning approach for feature selection traffic classification using security analysis

(2018) Muhammad Shafiq et al.   JOURNAL OF SUPERCOMPUTING

Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

(2018) Shadi Aljawarneh et al.   Journal of Computational Science

On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique

(2018) Celestine Iwendi et al.   IEEE Access

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis

(2018) Agnieszka Wosiak et al.   COMPLEXITY

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

(2017) Abdulla Amin Aburomman et al.   INFORMATION SCIENCES

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

(2017) Manuel Lopez-Martin et al.   SENSORS

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

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

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks

(2016) Tao Ma et al.   SENSORS

Binarization With Boosting and Oversampling for Multiclass Classification

(2016) Ayon Sen et al.   IEEE Transactions on Cybernetics

MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection

(2015) John M. Fossaceca et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature Selection Using Particle Swarm Optimization in Intrusion Detection

(2015) Iftikhar Ahmad   International Journal of Distributed Sensor Networks

Two-tier network anomaly detection model: a machine learning approach

(2015) Hamed Haddad Pajouh et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Feature Selection Using Particle Swarm Optimization in Intrusion Detection

(2015) Iftikhar Ahmad   International Journal of Distributed Sensor Networks

Hybrid intelligent systems for detecting network intrusions

(2012) Mrutyunjaya Panda et al.   Security and Communication Networks

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

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

Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset

(2010) V. Bolón-Canedo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adapted One-versus-All Decision Trees for Data Stream Classification

(2008) S. Hashemi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING