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Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset

https://doi.org/10.1109/access.2021.3056614

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Effectiveness of Machine Learning Based Intrusion Detection Systems

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A Detailed Analysis of the CICIDS2017 Data Set

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Studying Machine Learning Techniques for Intrusion Detection Systems

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Nature-Inspired Computation and Machine Learning

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The Best Neural Network Architecture

inferredcites →https://doi.org/10.1007/978-3-319-32213-1_27openalex-snapshot

Ant Colony Optimization and Feature Selection for Intrusion Detection

inferredcites →https://doi.org/10.1007/978-3-319-59439-2_5openalex-snapshot

Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models

inferredcites →https://doi.org/10.1007/bfb0026666openalex-snapshot

Naive (Bayes) at forty: The independence assumption in information retrieval

inferredcites →https://doi.org/10.1007/s00521-017-3128-zopenalex-snapshot

An in-depth experimental study of anomaly detection using gradient boosted machine

inferredcites →https://doi.org/10.1007/s00779-019-01332-yopenalex-snapshot

GAN-based imbalanced data intrusion detection system

inferredcites →https://doi.org/10.1007/s10462-019-09762-zopenalex-snapshot

An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm

inferredcites →https://doi.org/10.1007/s10489-018-1141-2openalex-snapshot

Semi-supervised machine learning approach for DDoS detection

inferredcites →https://doi.org/10.1007/s10586-019-03008-xopenalex-snapshot

An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset

inferredcites →https://doi.org/10.1007/s10766-016-0456-zopenalex-snapshot

Hadoop Based Parallel Binary Bat Algorithm for Network Intrusion Detection

inferredcites →https://doi.org/10.1007/s11227-016-1727-6openalex-snapshot

Modified parallel random forest for intrusion detection systems

inferredcites →https://doi.org/10.1007/s12530-019-09317-1openalex-snapshot

Anomaly process detection using negative selection algorithm and classification techniques

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Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

inferredcites →https://doi.org/10.1007/s41650-017-0033-7openalex-snapshot

Feature selection techniques for intrusion detection using non-bio-inspired and bio-inspired optimization algorithms

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False alarm minimization techniques in signature-based intrusion detection systems: A survey

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A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection

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inferredcites →https://doi.org/10.1016/j.cose.2018.07.003openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.icte.2016.08.003openalex-snapshot

FCAAIS: Anomaly based network intrusion detection through feature correlation analysis and association impact scale

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Fuzziness based semi-supervised learning approach for intrusion detection system

inferredcites →https://doi.org/10.1016/j.jksuci.2018.03.011openalex-snapshot

Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms

inferredcites →https://doi.org/10.1016/j.knosys.2018.02.015openalex-snapshot

Network intrusion detection using equality constrained-optimization-based extreme learning machines

inferredcites →https://doi.org/10.1016/j.procs.2015.07.490openalex-snapshot

Analysis of KDD Dataset Attributes - Class wise for Intrusion Detection

inferredcites →https://doi.org/10.1016/j.procs.2016.06.047openalex-snapshot

Random Forest Modeling for Network Intrusion Detection System

inferredcites →https://doi.org/10.1016/j.sysarc.2019.101701openalex-snapshot

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inferredcites →https://doi.org/10.1016/s0925-2312(98)00030-7openalex-snapshot

The self-organizing map

inferredcites →https://doi.org/10.1080/18756891.2016.1237186openalex-snapshot

A two-stage hybrid classification technique for network intrusion detection system

inferredcites →https://doi.org/10.1080/19393555.2017.1358779openalex-snapshot

Multivariate correlation coefficient and mutual information-based feature selection in intrusion detection

inferredcites →https://doi.org/10.1109/79.543975openalex-snapshot

The expectation-maximization algorithm

inferredcites →https://doi.org/10.1109/access.2017.2762418openalex-snapshot

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/access.2018.2841987openalex-snapshot

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

inferredcites →https://doi.org/10.1109/access.2019.2908998openalex-snapshot

Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

inferredcites →https://doi.org/10.1109/access.2019.2953095openalex-snapshot

Cyber Threat Detection Based on Artificial Neural Networks Using Event Profiles

inferredcites →https://doi.org/10.1109/access.2020.2969428openalex-snapshot

An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble

inferredcites →https://doi.org/10.1109/access.2020.3009843openalex-snapshot

CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

inferredcites →https://doi.org/10.1109/ants.2016.7947776openalex-snapshot

Enhancing performance of anomaly based intrusion detection systems through dimensionality reduction using principal component analysis

inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot

A detailed analysis of the KDD CUP 99 data set

inferredcites →https://doi.org/10.1109/comst.2015.2402161openalex-snapshot

Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset

inferredcites →https://doi.org/10.1109/cybersecurity49315.2020.9138871openalex-snapshot

Evaluation of Machine Learning Algorithms for Anomaly Detection

inferredcites →https://doi.org/10.1109/gcwkshps50303.2020.9367477openalex-snapshot

Evaluation of Machine Learning Techniques for Security in SDN

inferredcites →https://doi.org/10.1109/icacci.2015.7275914openalex-snapshot

Network intrusion detection system using J48 Decision Tree

inferredcites →https://doi.org/10.1109/icdis.2018.00043openalex-snapshot

Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset

inferredcites →https://doi.org/10.1109/ictcs.2017.29openalex-snapshot

Experimental Evaluation of a Multi-layer Feed-Forward Artificial Neural Network Classifier for Network Intrusion Detection System

inferredcites →https://doi.org/10.1109/isie.2017.8001537openalex-snapshot

Feature selection in UNSW-NB15 and KDDCUP'99 datasets

inferredcites →https://doi.org/10.1109/iwbis.2017.8275095openalex-snapshot

Deep learning in intrusion detection perspective: Overview and further challenges

inferredcites →https://doi.org/10.1109/jiot.2018.2873125openalex-snapshot

MSML: A Novel Multilevel Semi-Supervised Machine Learning Framework for Intrusion Detection System

inferredcites →https://doi.org/10.1109/spaces.2015.7058223openalex-snapshot

Performance analysis of NSL-KDD dataset using ANN

inferredcites →https://doi.org/10.1109/tbdata.2017.2715166openalex-snapshot

Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks

inferredcites →https://doi.org/10.1109/tem.2019.2922936openalex-snapshot

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot

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inferredcites →https://doi.org/10.1145/3349341.3349364openalex-snapshot

Ensemble Feature Selection for Improving Intrusion Detection Classification Accuracy

inferredcites →https://doi.org/10.1145/382912.382923openalex-snapshot

Testing Intrusion detection systems

inferredcites →https://doi.org/10.1155/2016/1075648openalex-snapshot

Hybrid Intrusion Detection System for DDoS Attacks

inferredcites →https://doi.org/10.1155/2018/4680867openalex-snapshot

Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment

inferredcites →https://doi.org/10.1155/2019/7130868openalex-snapshot

Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms

inferredcites →https://doi.org/10.11591/ijece.v10i2.pp1515-1523openalex-snapshot

Evaluate the performance of K-Means and the fuzzy C-Means algorithms to formation balanced clusters in wireless sensor networks

inferredcites →https://doi.org/10.13052/jsn2445-9739.2017.009openalex-snapshot

Towards a Reliable Intrusion Detection Benchmark Dataset

inferredcites →https://doi.org/10.14257/ijdta.2013.6.5.03openalex-snapshot

Analysis of KDD CUP 99 Dataset using Clustering based Data Mining

inferredcites →https://doi.org/10.14257/ijdta.2015.8.1.16openalex-snapshot

A Rough Set Based Feature Selection on KDD CUP 99 Data Set

inferredcites →https://doi.org/10.14569/ijacsa.2017.080651openalex-snapshot

A Two-Stage Classifier Approach using RepTree Algorithm for Network Intrusion Detection

inferredcites →https://doi.org/10.17485/ijst/2016/v9i48/105827openalex-snapshot

Significance of Hybrid Feature Selection Technique for Intrusion Detection Systems

inferredcites →https://doi.org/10.18844/ijire.v8i1.6445openalex-snapshot

Semi supervised machine learning approach for DDOS detection

inferredcites →https://doi.org/10.20532/cit.2016.1002701openalex-snapshot

Improving Accuracy of Intrusion Detection Model Using PCA and optimized SVM

inferredcites →https://doi.org/10.2139/ssrn.3537067openalex-snapshot

Tuning to Optimize SVM Approach for Breast Cancer Diagnosis with Blood Analysis Data

inferredcites →https://doi.org/10.3103/s0146411619050043openalex-snapshot

Detecting DDoS Attacks Using Machine Learning Techniques and Contemporary Intrusion Detection Dataset

inferredcites →https://doi.org/10.3390/electronics9060916openalex-snapshot

CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

inferredcites →https://doi.org/10.36227/techrxiv.11454276openalex-snapshot

On evaluation of Network Intrusion Detection Systems: Statistical analysis of CIDDS-001 dataset using Machine Learning Techniques

inferredcites →https://doi.org/10.36227/techrxiv.11454276.v1openalex-snapshot

On evaluation of Network Intrusion Detection Systems: Statistical analysis of CIDDS-001 dataset using Machine Learning Techniques

inferredcites →https://doi.org/10.3837/tiis.2016.08.025openalex-snapshot

Effective Dimensionality Reduction of Payload-Based Anomaly Detection in TMAD Model for HTTP Payload

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A Deep Learning Approach for Network Intrusion Detection System

inferredcites →https://doi.org/10.4236/jis.2016.73009openalex-snapshot

Feature Selection for Intrusion Detection Using Random Forest

inferredcites →https://doi.org/10.48550/arxiv.1305.2388openalex-snapshot

Fast Feature Reduction in intrusion detection datasets

inferredcites →https://doi.org/10.5120/ijca2017913762openalex-snapshot

Anomaly based Intrusion Detection System using Genetic Algorithm and K-Centroid Clustering

inferredcites →https://doi.org/10.5815/ijcnis.2016.11.07openalex-snapshot

A Learnable Anomaly Detection System using Attributional Rules

inferredcites →https://doi.org/10.5815/ijcnis.2019.03.02openalex-snapshot

Deep Learning Approach on Network Intrusion Detection System using NSL-KDD Dataset

inferredcites →https://doi.org/10.5815/ijitcs.2013.08.08openalex-snapshot

Data Mining in Intrusion Detection: A Comparative Study of Methods, Types and Data Sets

inferredcites →https://doi.org/10.7287/peerj.preprints.1954openalex-snapshot

A review of KDD99 dataset usage in intrusion detection and machine learning between 2010 and 2015

inferredcites →https://doi.org/10.7287/peerj.preprints.1954v1openalex-snapshot

A review of KDD99 dataset usage in intrusion detection and machine learning between 2010 and 2015

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Hybrid butterfly optimization and back propagation neural network for enhanced smart city data classification

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A Systematic Review on Game-Theoretic Models and Different Types of Security Requirements in Cloud Environment: Challenges and Opportunities

inferred← citeshttps://doi.org/10.1007/s12083-025-01911-2openalex-snapshot

Intrusion defense: Leveraging ant colony optimization for enhanced multi-optimization in network security

inferred← citeshttps://doi.org/10.1007/s12083-025-02093-7openalex-snapshot

An efficient vehicular network anomaly detection framework based on encoder and dynamic threshold adjustment

inferred← citeshttps://doi.org/10.1007/s12243-024-01021-9openalex-snapshot

Generating practical adversarial examples against learning-based network intrusion detection systems

inferred← citeshttps://doi.org/10.1007/s13042-024-02332-yopenalex-snapshot

5G-SIID: an intelligent hybrid DDoS intrusion detector for 5G IoT networks

inferred← citeshttps://doi.org/10.1007/s13369-024-08949-zopenalex-snapshot

Empirical Enhancement of Intrusion Detection Systems: A Comprehensive Approach with Genetic Algorithm-based Hyperparameter Tuning and Hybrid Feature Selection

inferred← citeshttps://doi.org/10.1007/s41870-025-02766-9openalex-snapshot

Enhancing intrusion detection with ResNet and SMOTE-ENN: a deep learning approach to class imbalance in CICIDS2017

inferred← citeshttps://doi.org/10.1007/s42044-024-00171-2openalex-snapshot

Enhancing intrusion detection in wireless sensor networks through deep hybrid network empowered by SC-attention mechanism

inferred← citeshttps://doi.org/10.1007/s42452-024-06209-1openalex-snapshot

Hybrid intrusion detection models based on GWO optimized deep learning

inferred← citeshttps://doi.org/10.1007/s42452-025-07419-xopenalex-snapshot

A hybrid ensemble framework with particle swarm optimization for network anomaly detection

inferred← citeshttps://doi.org/10.1007/s42979-024-02852-yopenalex-snapshot

Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning

inferred← citeshttps://doi.org/10.1007/s42979-024-03376-1openalex-snapshot

Stacking Enabled Ensemble Learning Based Intrusion Detection Scheme (SELIDS) for IoV

inferred← citeshttps://doi.org/10.1007/s42979-026-04978-7openalex-snapshot

A Dual Approach to Intrusion Detection in Edge Environments: Offline and Online Perspectives

inferred← citeshttps://doi.org/10.1007/s43926-026-00402-xopenalex-snapshot

Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection

inferred← citeshttps://doi.org/10.1007/s44163-025-00578-1openalex-snapshot

A comprehensive survey on intrusion detection systems with advances in machine learning, deep learning and emerging cybersecurity challenges

inferred← citeshttps://doi.org/10.1007/s44196-026-01426-5openalex-snapshot

MCES-CNN: A Hybrid Meta-classification Framework with Explainable AI for Enhanced IoT Intrusion Detection

inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103674openalex-snapshot

A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks

inferred← citeshttps://doi.org/10.1016/j.aei.2026.105180openalex-snapshot

CVS-MSFE: Environment-aware anomaly identification for deformation monitoring data from cracked concrete dams using causal variable screening and multiscale feature extraction

inferred← citeshttps://doi.org/10.1016/j.aej.2024.12.061openalex-snapshot

AI-enhanced smart grid framework for intrusion detection and mitigation in EV charging stations

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112369openalex-snapshot

Deep anomaly detection: A linear one-class SVM approach for high-dimensional and large-scale data

inferred← citeshttps://doi.org/10.1016/j.atmosres.2025.108395openalex-snapshot

Evaluating station, satellite, & combined data for XGBoost-based visibility forecast

inferred← citeshttps://doi.org/10.1016/j.cclet.2026.112756openalex-snapshot

Accelerating the discovery of high-entropy perovskite oxides by machine learning

inferred← citeshttps://doi.org/10.1016/j.cola.2024.101314openalex-snapshot

A comprehensive meta-analysis of efficiency and effectiveness in the detection community

inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111045openalex-snapshot

Enhancing IoT security: A comprehensive exploration of privacy, security measures, and advanced routing solutions

inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111723openalex-snapshot

CrossModal-CLIP: A novel multimodal contrastive learning framework for robust network traffic anomaly detection

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109113openalex-snapshot

An integrated intrusion detection framework based on subspace clustering and ensemble learning

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110320openalex-snapshot

BOA-ACRF: An intrusion detection method for data imbalance problems

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111437openalex-snapshot

MACO: Manifold-guided Adaptive Centrality Oversampling for imbalanced intrusion detection

inferred← citeshttps://doi.org/10.1016/j.cose.2021.102435openalex-snapshot

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

inferred← citeshttps://doi.org/10.1016/j.cose.2022.102824openalex-snapshot

Beholder – A CEP-based intrusion detection and prevention systems for IoT environments

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103413openalex-snapshot

Federated learning for reliable model updates in network-based intrusion detection

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103438openalex-snapshot

Nature-inspired intrusion detection system for protecting software-defined networks controller

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103546openalex-snapshot

Apollon: A robust defense system against Adversarial Machine Learning attacks in Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1016/j.cose.2024.103809openalex-snapshot

An anomaly behavior characterization method of network traffic based on Spatial Pyramid Pool (SPP)

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104005openalex-snapshot

Enhancing network intrusion detection performance using generative adversarial networks

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104190openalex-snapshot

Assessing the detection of lateral movement through unsupervised learning techniques

inferred← citeshttps://doi.org/10.1016/j.cose.2025.104763openalex-snapshot

Integration of emerging technologies in cybersecurity for healthcare: A systematic review

inferred← citeshttps://doi.org/10.1016/j.cose.2026.105122openalex-snapshot

Temporal-symbolic data representation for intrusion detection in Industrial Control Systems

inferred← citeshttps://doi.org/10.1016/j.csa.2026.100133openalex-snapshot

UNSW-IoTSAT: A hybrid testbed-derived dataset for enabling cybersecurity research in the smart satellite domain

inferred← citeshttps://doi.org/10.1016/j.future.2024.05.013openalex-snapshot

ELIDS: Ensemble Feature Selection for Lightweight IDS against DDoS Attacks in Resource-Constrained IoT Environment

inferred← citeshttps://doi.org/10.1016/j.future.2026.108871openalex-snapshot

Entropy-guided circuit breakers for LLM-augmented intrusion detection: An empirical evaluation of uncertainty-routed cascades in LLMOps

inferred← citeshttps://doi.org/10.1016/j.hcc.2025.100355openalex-snapshot

Secure and privacy-preserving intrusion detection in smart networks via blockchain-based federated learning and optimized deep learning models

inferred← citeshttps://doi.org/10.1016/j.health.2022.100117openalex-snapshot

A decision support system for selecting the most suitable machine learning in healthcare using user parameters and requirements

inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e29410openalex-snapshot

OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

inferred← citeshttps://doi.org/10.1016/j.ijcce.2024.07.005openalex-snapshot

A stacked ensemble approach to detect cyber attacks based on feature selection techniques

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119512openalex-snapshot

A feature enhancement-based model for the malicious traffic detection with small-scale imbalanced dataset

inferred← citeshttps://doi.org/10.1016/j.iot.2023.101046openalex-snapshot

Detecting cyberthreats in Metaverse learning platforms using an explainable DNN

inferred← citeshttps://doi.org/10.1016/j.iswa.2023.200236openalex-snapshot

Unveiling the performance of video anomaly detection models — A benchmark-based review

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.02.009openalex-snapshot

An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0

inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103560openalex-snapshot

An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection

inferred← citeshttps://doi.org/10.1016/j.jnca.2024.104091openalex-snapshot

Consensus hybrid ensemble machine learning for intrusion detection with explainable AI

inferred← citeshttps://doi.org/10.1016/j.jpdc.2024.104934openalex-snapshot

Meta-Fed IDS: Meta-learning and Federated learning based fog-cloud approach to detect known and zero-day cyber attacks in IoMT networks

inferred← citeshttps://doi.org/10.1016/j.matpr.2021.03.421openalex-snapshot

WITHDRAWN: A benchmarking study of Parkinson's disease classification base on speech symptom features

inferred← citeshttps://doi.org/10.1016/j.patrec.2022.08.008openalex-snapshot

Detection of Intrusion behavior in cloud applications using Pearson's chi-squared distribution and decision tree classifiers

inferred← citeshttps://doi.org/10.1016/j.procs.2026.08.338openalex-snapshot

CRISPR-AF: A Bio-Inspired Adaptive Firewall with Self-Curating Signature Memory for Network Intrusion Detection

inferred← citeshttps://doi.org/10.1016/j.rineng.2026.111282openalex-snapshot

DeepGuardXAI: Human-Centric and explainable AI for enhancement in cybersecurity decision-making

inferred← citeshttps://doi.org/10.1016/j.vrih.2023.06.009openalex-snapshot

ILIDViz: An Incremental Learning-Based Visual Analysis System for Network Anomaly Detection

inferred← citeshttps://doi.org/10.1038/s41598-025-01084-1openalex-snapshot

Unknown intrusion traffic detection method based on unsupervised learning and open-set recognition

inferred← citeshttps://doi.org/10.1038/s41598-025-03498-3openalex-snapshot

Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest

inferred← citeshttps://doi.org/10.1038/s41598-025-26056-3openalex-snapshot

NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond

inferred← citeshttps://doi.org/10.1038/s41598-025-89798-0openalex-snapshot

Research on intrusion detection model based on improved MLP algorithm

inferred← citeshttps://doi.org/10.1038/s41598-026-45213-wopenalex-snapshot

Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection

inferred← citeshttps://doi.org/10.1049/cmu2.70071openalex-snapshot

A Novel Hybrid Approach for Intrusion Detection Using Neuro‐Fuzzy, SVM, and PSO

inferred← citeshttps://doi.org/10.1049/ntw2.12128openalex-snapshot

Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges

inferred← citeshttps://doi.org/10.1051/epjconf/202636704007openalex-snapshot

Secure FedIDS - Privacy preserving IDS with ensemble deep learning approach

inferred← citeshttps://doi.org/10.1063/5.0194475openalex-snapshot

Review of machine learning implementation on intrusion dataset for detection of possible intrusions

inferred← citeshttps://doi.org/10.1063/5.0263117openalex-snapshot

Exploring the malicious activities in network, intrusion detection system with machine learning

inferred← citeshttps://doi.org/10.1063/5.0274110openalex-snapshot

A review on machine learning technique for network intrusion detection systems

inferred← citeshttps://doi.org/10.1080/01969722.2025.2546604openalex-snapshot

Hybrid Intrusion Detection Model for Classification of Network Attacks with GA-PSO Optimization Technique

inferred← citeshttps://doi.org/10.1080/08839514.2025.2539395openalex-snapshot

A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system

inferred← citeshttps://doi.org/10.1080/19393555.2025.2542170openalex-snapshot

Prediction of ddos attack by hierarchical attention- based bigru classifier

inferred← citeshttps://doi.org/10.1080/23080477.2024.2326234openalex-snapshot

Auto metric graph neural network optimized with woodpecker mating algorithm for detecting network layer attacks in mobile ad hoc networks

inferred← citeshttps://doi.org/10.1080/23742917.2024.2415729openalex-snapshot

An innovative approach and evaluation of contemporary intrusion detection systems

inferred← citeshttps://doi.org/10.1088/2631-8695/ae812dopenalex-snapshot

Advances in intrusion detection systems: emerging trends, intelligent techniques, and future directions

inferred← citeshttps://doi.org/10.1088/2631-8695/ae9a2fopenalex-snapshot

In-vehicle network intrusion detection via traffic-to-image encoding and transfer learning-based visual transformers

inferred← citeshttps://doi.org/10.1109/accai58221.2023.10200892openalex-snapshot

Unleashing the Power of Machine and Deep Learning for Advanced Network Intrusion Detection: An Analysis and Exploration

inferred← citeshttps://doi.org/10.1109/access.2021.3123791openalex-snapshot

AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification

inferred← citeshttps://doi.org/10.1109/access.2022.3171660openalex-snapshot

An Innovative Perceptual Pigeon Galvanized Optimization (PPGO) Based Likelihood Naïve Bayes (LNB) Classification Approach for Network Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/access.2022.3182333openalex-snapshot

RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/access.2022.3204690openalex-snapshot

Visualizing Realistic Benchmarked IDS Dataset: CIRA-CIC-DoHBrw-2020

inferred← citeshttps://doi.org/10.1109/access.2023.3238664openalex-snapshot

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures

inferred← citeshttps://doi.org/10.1109/access.2023.3254915openalex-snapshot

NIDS-CNNLSTM: Network Intrusion Detection Classification Model Based on Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3273160openalex-snapshot

An Intelligent Approach to Improving the Performance of Threat Detection in IoT

inferred← citeshttps://doi.org/10.1109/access.2023.3292267openalex-snapshot

Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)

inferred← citeshttps://doi.org/10.1109/access.2024.3382539openalex-snapshot

A Comprehensive Analysis of the Machine Learning Algorithms in IoT IDS Systems

inferred← citeshttps://doi.org/10.1109/access.2024.3398007openalex-snapshot

An Improved Algorithm for Network Intrusion Detection Based on Deep Residual Networks

inferred← citeshttps://doi.org/10.1109/access.2024.3444703openalex-snapshot

SSOLV: Real-Time AI/ML-Based Cybersecurity via Statistical Analysis

inferred← citeshttps://doi.org/10.1109/access.2024.3477415openalex-snapshot

Intrusion Detection in Industrial Control Systems Based on Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/access.2024.3482987openalex-snapshot

Leveraging Machine Learning for Cybersecurity Resilience in Industry 4.0: Challenges and Future Directions

inferred← citeshttps://doi.org/10.1109/access.2024.3493384openalex-snapshot

Survey: Intrusion Detection System in Software-Defined Networking

inferred← citeshttps://doi.org/10.1109/access.2025.3538319openalex-snapshot

Hybrid Model for Network Traffic Anomaly Detection Based on Parallel Two-Stage Feature Fusion

inferred← citeshttps://doi.org/10.1109/access.2025.3560767openalex-snapshot

Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints

inferred← citeshttps://doi.org/10.1109/access.2025.3561105openalex-snapshot

A Survey of Data Stream-Based Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/access.2025.3563158openalex-snapshot

Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset

inferred← citeshttps://doi.org/10.1109/access.2025.3567038openalex-snapshot

Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection

inferred← citeshttps://doi.org/10.1109/access.2026.3729667openalex-snapshot

A Systematic Literature Review of Intelligent Anomaly Detection and Threat Analysis Using LLMs in Quantum-Aware Cyber Systems

inferred← citeshttps://doi.org/10.1109/access.2026.3731628openalex-snapshot

Network Intrusion Detection With Contrastive Learning and Transformer

inferred← citeshttps://doi.org/10.1109/acit58888.2023.10453781openalex-snapshot

Enhancing the Performance of Sign Language Recognition Models Using Machine Learning

inferred← citeshttps://doi.org/10.1109/acit58888.2023.10453827openalex-snapshot

Analyzing and contrasting machine learning algorithms for Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/acit62333.2024.10712556openalex-snapshot

Latent Semantic Analysis for Feature Selection: A Proposed Approach for Anomaly Detection in Network Traffic

inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877172openalex-snapshot

Evaluation of Chest CT-Scan Anomaly Detection Models Using Principal Component Analysis

inferred← citeshttps://doi.org/10.1109/aidas67696.2025.11212856openalex-snapshot

Fake it 'Til you Make it? Supervised Machine Learning Approach to Detect Bots on Web3 Airdrops

inferred← citeshttps://doi.org/10.1109/aiiot58432.2024.10574769openalex-snapshot

Machine Learning based Classifier and Feature Extractor for Intrusion Detection

inferred← citeshttps://doi.org/10.1109/aset60340.2024.10708693openalex-snapshot

A Lightweight Model for Detecting Cyberthreats Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/atsip62566.2024.10638878openalex-snapshot

An investigation of malware and the systems used to detect and identify malware

inferred← citeshttps://doi.org/10.1109/ccnc54725.2025.10976113openalex-snapshot

CyberMALT: Machine Learning-Assisted Traffic Analysis for Cyber Threat Detection and Classification

inferred← citeshttps://doi.org/10.1109/ccwc57344.2023.10099108openalex-snapshot

Data Analytics of Network Intrusion Based on Deep Neural Networks with Weights Initialized by Stacked Autoencoders and Deep Belief Networks

inferred← citeshttps://doi.org/10.1109/cloudcom67567.2025.11331387openalex-snapshot

Systematic Evaluation of Preprocessing Strategies for IDS in Imbalanced Cloud Traffic

inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11453115openalex-snapshot

A Network Intrusion Detection Method Based on Parameter Optimization and Transformer

inferred← citeshttps://doi.org/10.1109/comst.2023.3280465openalex-snapshot

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions

inferred← citeshttps://doi.org/10.1109/comst.2026.3708340openalex-snapshot

A Comprehensive Survey on Cybersecurity Challenges and Defenses for Integrated Air, Ground, and Underwater Autonomous Vehicle Systems

inferred← citeshttps://doi.org/10.1109/conit61985.2024.10626194openalex-snapshot

Advancing Fake Profile Detection: A Machine Learning Perspective

inferred← citeshttps://doi.org/10.1109/cspa55076.2022.9782043openalex-snapshot

Intrusion Detection System Based on Machine Learning Algorithms: A Review

inferred← citeshttps://doi.org/10.1109/csr61664.2024.10679401openalex-snapshot

Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation

inferred← citeshttps://doi.org/10.1109/delcon68055.2025.11400052openalex-snapshot

ECG Anomaly Detection Using Machine Learning: Comparative Analysis

inferred← citeshttps://doi.org/10.1109/dsn-s65789.2025.00042openalex-snapshot

Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice

inferred← citeshttps://doi.org/10.1109/ecti-con54298.2022.9795639openalex-snapshot

Variational Feature Selection with Convolutional Neural Network for Network Intrusion Classification

inferred← citeshttps://doi.org/10.1109/educon60312.2024.10578588openalex-snapshot

AI and Network Security Curricula: Minding the Gap

inferred← citeshttps://doi.org/10.1109/eei70303.2026.11640551openalex-snapshot

A Survey on Path Hiding Detection Technology via Network Traffic Analysis in Dedicated Networks

inferred← citeshttps://doi.org/10.1109/eit53891.2022.9814045openalex-snapshot

Network Anomaly Uncovering on CICIDS-2017 Dataset: A Supervised Artificial Intelligence Approach

inferred← citeshttps://doi.org/10.1109/etcm53643.2021.9590777openalex-snapshot

Relevant and Non-Redundant Feature Subset Selection Applied to the Detection of Malware in a Network

inferred← citeshttps://doi.org/10.1109/fnwf63303.2024.11028725openalex-snapshot

Impact Analysis of Classifier Training on the Performance of Machine Learning based Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/ginotech63460.2025.11076711openalex-snapshot

A Novel Temporal-Aware Adaptive Feature Selection Strategy for Network Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/i-smac58438.2023.10290408openalex-snapshot

Novel Intrusion Detection Algorithm of Information System based on RBM-KSVM

inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11210998openalex-snapshot

Benchmarking of Machine Learning for Anomalybased Intrusion Detection Systems Using LSTM-RNN

inferred← citeshttps://doi.org/10.1109/ic-cgu67042.2025.11338061openalex-snapshot

Evaluating Machine Learning Models for Intrusion Detection in Cloud Environments: A Security-Driven Perspective

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