Deep belief network based intrusion detection techniques: A survey

A real-time and ubiquitous network attack detection based on deep belief network and support vector machine

(2020) Hao Zhang et al.   IEEE-CAA Journal of Automatica Sinica

Application of Deep Learning to Cybersecurity: A Survey

(2019) Samaneh Mahdavifar et al.   NEUROCOMPUTING

Heartbeat design for energy-aware IoT: Are your sensors alive?

(2019) Kojo Sarfo Gyamfi et al.   EXPERT SYSTEMS WITH APPLICATIONS

The Internet of Things: Review and theoretical framework

(2019) Jeretta Horn Nord et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

(2019) Arwa Aldweesh et al.   KNOWLEDGE-BASED SYSTEMS

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

(2019) Cosimo Ieracitano et al.   NEUROCOMPUTING

Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic

(2019) Wisam Elmasry et al.   Computer Networks

Distributed attack detection scheme using deep learning approach for Internet of Things

(2018) Abebe Abeshu Diro et al.   Future Generation Computer Systems-The International Journal of eScience

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

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

A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network

(2018) Shamsul Huda et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Machine Learning and Deep Learning Methods for Cybersecurity

(2018) Yang Xin et al.   IEEE Access

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

(2017) Shamsul Huda et al.   INFORMATION SCIENCES

A New Deep Learning Approach for Anomaly Base IDS using Memetic Classifier

(2017) Shahriar Mohammadi et al.   International Journal of Computers Communications & Control

Small-World and Scale-Free Network Models for IoT Systems

(2017) Insoo Sohn   Mobile Information Systems

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

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 approach for overlapping and hierarchical community detection in social networks based on coalition formation game theory

(2015) Lihua Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Access Point Selection Game with Mobile Users Using Correlated Equilibrium

(2015) Insoo Sohn   PLoS One

A Small World Network Model for Energy Efficient Wireless Networks

(2013) Tiankui Zhang et al.   IEEE COMMUNICATIONS LETTERS

Network anomaly detection with the restricted Boltzmann machine

(2013) Ugo Fiore et al.   NEUROCOMPUTING

A survey of techniques for internet traffic classification using machine learning

(2009) Thuy T.T. Nguyen et al.   IEEE Communications Surveys and Tutorials