MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection

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

(2022) Jinghong Lan et al.   COMPUTERS & SECURITY

Real-time network intrusion detection using deferred decision and hybrid classifier

(2022) Taehoon Kim et al.   Future Generation Computer Systems-The International Journal of eScience

Adaptive feature fusion for time series classification

(2022) Tian Wang et al.   KNOWLEDGE-BASED SYSTEMS

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method

(2022) Thi-Thu-Huong Le et al.   SENSORS

A systematic literature review of methods and datasets for anomaly-based network intrusion detection

(2022) Zhen Yang et al.   COMPUTERS & SECURITY

An efficient network behavior anomaly detection using a hybrid DBN-LSTM network

(2022) Aiguo Chen et al.   COMPUTERS & SECURITY

Hybrid intrusion detection system based on Dempster-Shafer evidence theory

(2022) Weicheng Qiu et al.   COMPUTERS & SECURITY

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

(2022) Hongwei Ding et al.   Future Generation Computer Systems-The International Journal of eScience

PDAE: Efficient network intrusion detection in IoT using parallel deep auto-encoders

(2022) Amir Basati et al.   INFORMATION SCIENCES

A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT

(2022) Zequn Niu et al.   INFORMATION SCIENCES

XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems

(2022) Thi-Thu-Huong Le et al.   Sustainability

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

(2022) Yanan Li et al.   COMPUTERS & SECURITY

Machine Learning Methods for Cyber Security Intrusion Detection: Datasets and Comparative Study

(2021) Ilhan Firat Kilincer et al.   Computer Networks

Intrusion Detection Methods Based on Integrated Deep Learning Model

(2021) ZHENDONG WANG 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

DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks

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

Autoencoder-based Deep Metric Learning for Network Intrusion Detection

(2021) Giuseppina Andresini et al.   INFORMATION SCIENCES

A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets

(2021) Ranjit Panigrahi et al.   Mathematics

A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM

(2021) Jingmei Liu et al.   COMPUTERS & SECURITY

Machine Learning for Detecting Anomalies and Intrusions in Communication Networks

(2021) Zhida Li et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

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

(2021) Xiu Kan et al.   INFORMATION SCIENCES

PMT-Net: Progressive Multi-Task Network for one-shot Person Re-Identification

(2021) Yulin Zhang et al.   INFORMATION SCIENCES

MFFusion: A Multi-level Features Fusion Model for Malicious Traffic Detection based on Deep Learning

(2021) Kunda Lin et al.   Computer Networks

A communication-channel-based method for detecting deeply camouflaged malicious traffic

(2021) Yong Fang et al.   Computer Networks

CSE-IDS: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems

(2021) Neha Gupta et al.   COMPUTERS & SECURITY

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions

(2021) Wei Wang et al.   COMPUTERS & SECURITY

An effective genetic algorithm-based feature selection method for intrusion detection systems

(2021) Zahid Halim et al.   COMPUTERS & SECURITY

GAN augmentation to deal with imbalance in imaging-based intrusion detection

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

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

(2021) Fusheng Jin et al.   INFORMATION SCIENCES

A multi-task based deep learning approach for intrusion detection

(2021) Qigang Liu et al.   KNOWLEDGE-BASED SYSTEMS

Deep anomaly detection in packet payload

(2021) Jiaxin Liu et al.   NEUROCOMPUTING

HNN: A Novel Model to Study the Intrusion Detection Based on Multi-Feature Correlation and Temporal-Spatial Analysis

(2021) Shengwei Lei et al.   IEEE Transactions on Network Science and Engineering

A comprehensive deep learning benchmark for IoT IDS

(2021) Rasheed Ahmad et al.   COMPUTERS & SECURITY

Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks

(2021) Yujia Zhou et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Web intrusion detection system combined with feature analysis and SVM optimization

(2020) Chao Liu et al.   EURASIP Journal on Wireless Communications and Networking

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

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

(2020) Sydney Mambwe Kasongo et al.   COMPUTERS & SECURITY

Detecting botnet by using particle swarm optimization algorithm based on voting system

(2020) Mehdi Asadi et al.   Future Generation Computer Systems-The International Journal of eScience

I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

Effectiveness of Focal Loss for Minority Classification in Network Intrusion Detection Systems

(2020) Mulyanto Mulyanto et al.   Symmetry-Basel

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

A deep multi-task representation learning method for time series classification and retrieval

(2020) Ling Chen et al.   INFORMATION SCIENCES

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

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

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

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection

(2018) Fadi Salo et al.   Computer Networks

Toward developing a systematic approach to generate benchmark datasets for intrusion detection

(2012) Ali Shiravi et al.   COMPUTERS & SECURITY