Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks

(2019) Yanqing Yang et al.   Applied Sciences-Basel

Performance comparison of intrusion detection systems and application of machine learning to Snort system

(2018) Syed Ali Raza Shah et al.   Future Generation Computer Systems-The International Journal of eScience

Deep learning to detect botnet via network flow summaries

(2018) Abdurrahman Pektaş et al.   NEURAL COMPUTING & APPLICATIONS

TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

(2018) Erxue Min et al.   Security and Communication Networks

Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment

(2018) Kai Peng et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data

(2018) Kai Peng et al.   IEEE Access

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

(2018) Wei Wang et al.   IEEE Access

Machine Learning and Deep Learning Methods for Cybersecurity

(2018) Yang Xin et al.   IEEE Access

Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications

(2018) Abebe Diro et al.   IEEE COMMUNICATIONS MAGAZINE

CNN and RNN based payload classification methods for attack detection

(2018) Hongyu Liu et al.   KNOWLEDGE-BASED SYSTEMS

Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders

(2017) Yang Yu et al.   Security and Communication Networks

Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism

(2017) Youbiao He et al.   IEEE Transactions on Smart Grid

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

(2016) Anna L. Buczak et al.   IEEE Communications Surveys and Tutorials

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

(2016) Tao Ma et al.   SENSORS

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

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

Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection

(2015) Weizhi Meng et al.   Security and Communication Networks

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