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

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

A Survey of Random Forest Based Methods for Intrusion Detection Systems

(2018) Paulo Angelo Alves Resende et al.   ACM COMPUTING SURVEYS

Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection

(2018) R. Vijayanand et al.   COMPUTERS & SECURITY

An anomaly-based intrusion detection system in presence of benign outliers with visualization capabilities

(2018) Amin Karami   EXPERT SYSTEMS WITH APPLICATIONS

A novel statistical technique for intrusion detection systems

(2018) Enamul Kabir et al.   Future Generation Computer Systems-The International Journal of eScience

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow

(2018) Kanit Wongsuphasawat et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

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

Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems

(2018) Yingjie Tian et al.   NEUROCOMPUTING

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 Method for Denial of Service Attack Detection Based on Restricted Boltzmann Machine

(2018) Yadigar Imamverdiyev et al.   Big Data

A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization

(2018) Mohammed Hasan Ali et al.   IEEE Access

Deep Learning Based Intrusion Detection With Adversaries

(2018) Zheng Wang   IEEE Access

Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection

(2018) Jiayu Sun et al.   IEEE Access

Machine Learning and Deep Learning Methods for Cybersecurity

(2018) Yang Xin et al.   IEEE Access

An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection

(2018) Tamer Aldwairi et al.   Computer Networks

Host-based misuse intrusion detection using PCA feature extraction and kNN classification algorithms

(2018) Gursel Serpen et al.   Intelligent Data Analysis

I-AHSDT: intrusion detection using adaptive dynamic directive operative fractional lion clustering and hyperbolic secant-based decision tree classifier

(2018) R. Ganeshan et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Using a Recurrent Neural Network and Restricted Boltzmann Machines for Malicious Traffic Detection

(2018) Chaopeng Li et al.   NeuroQuantology

Cyberattack Detection Using Deep Generative Models with Variational Inference

(2018) Sarin E. Chandy et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

A multiclass cascade of artificial neural network for network intrusion detection

(2017) Mirza M. Baig et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

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

(2017) Manuel Lopez-Martin et al.   SENSORS

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

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