Comparative research on network intrusion detection methods based on machine learning

An empirical intrusion detection system based on XGBoost and bidirectional long‐short term model for 5G and other telecommunication technologies

(2022) Chinnathangam Karthikraja et al.   COMPUTATIONAL INTELLIGENCE

Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection

(2022) Hooman Alavizadeh et al.   Computers

Label flipping attacks against Naive Bayes on spam filtering systems

(2021) Hongpo Zhang et al.   APPLIED INTELLIGENCE

Nearest cluster-based intrusion detection through convolutional neural networks

(2021) Giuseppina Andresini et al.   KNOWLEDGE-BASED SYSTEMS

Intrusion Detection System in the Advanced Metering Infrastructure: A Cross-Layer Feature-Fusion CNN-LSTM-Based Approach

(2021) Ruizhe Yao et al.   SENSORS

T‐SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems

(2021) Mohamed Hammad et al.   IET Information Security

Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems

(2021) Nuno Oliveira et al.   Applied Sciences-Basel

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

(2021) Sohrab Mokhtari et al.   Electronics

Hybrid random forest and synthetic minority over sampling technique for detecting internet of things attacks

(2021) M. Ganesh Karthik et al.   Journal of Ambient Intelligence and Humanized Computing

HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

(2021) Muhammad Ashfaq Khan   Processes

Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems

(2021) Xiaokang Zhou et al.   IEEE Transactions on Industrial Informatics

A Machine Learning Based Intrusion Detection System for Mobile Internet of Things

(2020) Amar Amouri et al.   SENSORS

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

(2020) Sweta Bhattacharya et al.   Electronics

Towards Near-Real-Time Intrusion Detection for IoT Devices using Supervised Learning and Apache Spark

(2020) Valerio Morfino et al.   Electronics

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

The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

(2020) Celestine Iwendi et al.   SENSORS

A deep learning approach for effective intrusion detection in wireless networks using CNN

(2020) B. Riyaz et al.   SOFT COMPUTING

Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks

(2020) Chia-Ming Hsu et al.   MOBILE NETWORKS & APPLICATIONS

If-SVM: Iterative factoring support vector machine

(2020) Yuqing Pan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

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

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics

(2020) Jiang Xie et al.   COMPUTERS & SECURITY

DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System

(2020) Pengfei Sun et al.   Security and Communication Networks

Misbehavior-Aware On-Demand Collaborative Intrusion Detection System Using Distributed Ensemble Learning for VANET

(2020) Fuad A. Ghaleb et al.   Electronics

An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

(2020) Prabhat Kumar et al.   COMPUTER COMMUNICATIONS

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

(2020) Mulyanto Mulyanto et al.   Symmetry-Basel

An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks

(2020) Qasem Abu Al-Haija et al.   Electronics

Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids

(2020) Darshana Upadhyay et al.   IEEE Transactions on Network and Service Management

An effective intrusion detection approach using SVM with naïve Bayes feature embedding

(2020) Jie Gu et al.   COMPUTERS & SECURITY

Machine learning in cybersecurity: A review

(2019) Anand Handa et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Kernel naive Bayes discrimination for high‐dimensional pattern recognition

(2019) Inge Koch et al.   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles

(2019) Franco van Wyk et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Robust detection for network intrusion of industrial IoT based on multi-CNN fusion

(2019) Yanmiao Li et al.   MEASUREMENT

State-of-the-art review of soft computing applications in underground excavations

(2019) Wengang Zhang et al.   Geoscience Frontiers

Problem formulations and solvers in linear SVM: a review

(2018) Vinod Kumar Chauhan et al.   ARTIFICIAL INTELLIGENCE REVIEW

A novel statistical technique for intrusion detection systems

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

Machine Learning and Deep Learning Methods for Cybersecurity

(2018) Yang Xin et al.   IEEE Access

Strategies for data stream mining method applied in anomaly detection

(2018) Ruxia Sun et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

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

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

Learning without Forgetting

(2017) Zhizhong Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

(2017) Salman H. Khan et al.   IEEE Transactions on Neural Networks and Learning Systems

Mining network data for intrusion detection through combining SVMs with ant colony networks

(2013) Wenying Feng et al.   Future Generation Computer Systems-The International Journal of eScience

An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledge

(2012) Salem Benferhat et al.   APPLIED INTELLIGENCE