Toward Developing Efficient Conv-AE-Based Intrusion Detection System Using Heterogeneous Dataset

Deep Autoencoders and Feedforward Networks Based on a New Regularization for Anomaly Detection

(2020) Marwan Ali Albahar et al.   Security and Communication Networks

Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks

(2019) Thi-Thu-Huong Le et al.   Applied Sciences-Basel

A hybrid deep learning model for efficient intrusion detection in big data environment

(2019) Mohammad Mehedi Hassan et al.   INFORMATION SCIENCES

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

(2018) Wei Wang et al.   IEEE Access

Deep Learning Approach Combining Sparse Autoen-coder with SVM for Network Intrusion Detection

(2018) Majjed Al-Qatf et al.   IEEE Access

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

A deep learning method to detect network intrusion through flow-based features

(2018) Abdurrahman Pektaş et al.   International Journal of Network Management

The rise of “big data” on cloud computing: Review and open research issues

(2015) Ibrahim Abaker Targio Hashem et al.   INFORMATION SYSTEMS

A hybrid approach for efficient anomaly detection using metaheuristic methods

(2015) Tamer F. Ghanem et al.   Journal of Advanced Research

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

(2014) C.L. Philip Chen et al.   INFORMATION SCIENCES

A novel hybrid intrusion detection method integrating anomaly detection with misuse detection

(2013) Gisung Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Network anomaly detection with the restricted Boltzmann machine

(2013) Ugo Fiore et al.   NEUROCOMPUTING

A hybrid network intrusion detection system using simplified swarm optimization (SSO)

(2012) Yuk Ying Chung et al.   APPLIED SOFT COMPUTING

Random-Forests-Based Network Intrusion Detection Systems

(2008) Jiong Zhang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE