An efficient XGBoost–DNN-based classification model for network intrusion detection system

Research on orthopedic auxiliary classification and prediction model based on XGBoost algorithm

(2019) Shenglong Li et al.   NEURAL COMPUTING & APPLICATIONS

A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection

(2018) Preeti Mishra et al.   IEEE Communications Surveys and Tutorials

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

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

Deep learning-based network application classification for SDN

(2018) Chuangchuang Zhang et al.   Transactions on Emerging Telecommunications Technologies

An Effective Two-Step Intrusion Detection Approach Based on Binary Classification and $k$ -NN

(2018) Longjie Li et al.   IEEE Access

Deep Learning Based Intrusion Detection With Adversaries

(2018) Zheng Wang   IEEE Access

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

(2018) Iftikhar Ahmad et al.   IEEE Access

An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things

(2018) Nour Moustafa et al.   IEEE Internet of Things Journal

A feature reduced intrusion detection system using ANN classifier

(2017) Akashdeep et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming

(2010) Shingo Mabu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Anomaly-based network intrusion detection: Techniques, systems and challenges

(2008) P. García-Teodoro et al.   COMPUTERS & SECURITY