HDFEF: A hierarchical and dynamic feature extraction framework for intrusion detection systems

DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification

(2022) Jinghong Lan et al.   COMPUTERS & SECURITY

Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM

(2021) Adel Binbusayyis et al.   APPLIED INTELLIGENCE

Towards a deep learning-driven intrusion detection approach for Internet of Things

(2021) Mengmeng Ge et al.   Computer Networks

PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection

(2021) Lian Yu et al.   Computer Networks

Supervised feature selection techniques in network intrusion detection: A critical review

(2021) M. Di Mauro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Semi-Supervised Anomaly Detection in Dynamic Communication Networks

(2021) Xuying Meng et al.   INFORMATION SCIENCES

Self-attentive deep learning method for online traffic classification and its interpretability

(2021) Guorui Xie et al.   Computer Networks

Unsupervised packet-based anomaly detection in virtual networks

(2021) Daniel Spiekermann et al.   Computer Networks

DeepStream: Autoencoder-based stream temporal clustering and anomaly detection

(2021) Shimon Harush et al.   COMPUTERS & SECURITY

Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection

(2021) Hao Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

(2021) Xiu Kan et al.   INFORMATION SCIENCES

RTFN: A robust temporal feature network for time series classification

(2021) Zhiwen Xiao et al.   INFORMATION SCIENCES

A multi-measure feature selection algorithm for efficacious intrusion detection

(2021) Vitali Herrera-Semenets et al.   KNOWLEDGE-BASED SYSTEMS

Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features

(2021) P Rajesh Kanna et al.   KNOWLEDGE-BASED SYSTEMS

A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model

(2021) Camila F. T. Pontes et al.   IEEE Transactions on Network and Service Management

MATEC: A lightweight neural network for online encrypted traffic classification

(2021) Jin Cheng et al.   Computer Networks

MIF: A multi-step attack scenario reconstruction and attack chains extraction method based on multi-information fusion

(2021) Beifeng Mao et al.   Computer Networks

STL-HDL: A new hybrid network intrusion detection system for imbalanced dataset on big data environment

(2021) Samed Al et al.   COMPUTERS & SECURITY

Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning

(2021) Fusheng Jin et al.   INFORMATION SCIENCES

Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning

(2021) Shi Dong et al.   IEEE Transactions on Network and Service Management

EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification

(2021) Xi Xiao et al.   IEEE Transactions on Dependable and Secure Computing

Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection

(2021) Saikat Das et al.   IEEE Transactions on Network and Service Management

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

Evaluation of HMM-Based Network Intrusion Detection System for Multiple Multi-Stage Attacks

(2020) Tawfeeq Shawly et al.   IEEE NETWORK

Hybrid approach to intrusion detection in fog-based IoT environments

(2020) Cristiano Antonio de Souza et al.   Computer Networks

Detection of Low-Frequency and Multi-Stage Attacks in Industrial Internet of Things

(2020) Xinghua Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats

(2020) Shana Moothedath et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

CLAVER: An integrated framework of Convolutional layer, bidirectional LSTM with Attention mechanism based scholarly VEnue Recommendation

(2020) Tribikram Pradhan et al.   INFORMATION SCIENCES

Experimental Review of Neural-Based Approaches for Network Intrusion Management

(2020) Mario Di Mauro et al.   IEEE Transactions on Network and Service Management

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

(2020) Javed Ashraf et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

(2020) MohammadNoor Injadat et al.   IEEE Transactions on Network and Service Management

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction

(2020) Lingbo Liu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

(2020) Haifeng Zheng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning

(2019) Ying Zhong et al.   Computer Networks