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Machine Learning in Network Anomaly Detection: A Survey

https://doi.org/10.1109/access.2021.3126834

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Assessment of Network Security Alerts Based on Expert Experience

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Synthetic Network Packet Data Generator With Protocol State and Arrival Timing Awareness

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Enhancing Network Stability: Anomaly Detection in Performance Issues Within Mobile Networks

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Explainable Tabular Deep Learning for Network Anomaly Detection: A Comparative Study of AutoInt and DANet Architectures

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A Comprehensive comparative study of Supervised Machine Learning Models for Network Threat Detection

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ML-Augmented Network Packet Broker based Anomaly Detection at IIoT-Edge Egress Port

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Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud

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Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning

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Robust Cybersecurity Using a Layered Multimodal AI System

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UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques

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Privacy-Preserving Intrusion Detection Using Federated Learning and Differential-Privacy-Inspired Noise

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Unsupervised Anomaly Behavior Detection in Power Information Network Based on Discriminative Semantic Transformation Sequences

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AI-Powered Decentralised Framework for Portable and Autonomous Network Threat Detection

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A Lightweight Dynamic Threshold Approach for Real-Time Network Anomaly Detection on Edge Devices

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New Approach for Network Threat Detection and Prevention Using Real-time Data Analysis and Deep Learning

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TS-Net: Dual-Channel IoT Intrusion Detection with Temporal and Spatial Modeling

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What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic

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An Intelligent Machine Learning Framework for Early Detection of DDoS Attacks in IoT Networks

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Explainable Network Anomaly Detection with GraphSAGE and SHAP

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A Multi-Model Framework for Synthesizing High-Fidelity Network Intrusion Data Using Generative AI

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Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller

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DDoS Attack Detection and Mitigation Using Mininet and RYU Controller in SDN Environment

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Calibrated Trust-Aware Classification for Real-Time Policy Enforcement in Zero Trust SDN Environments

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Data-Driven IDS Rule Generation for Detecting Malicious Traffic

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SENATE: SDN-Empowered Network Anomaly Tracker using Entropy for IoT DDoS Detection

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Anomaly Detection Methods in Social Networks

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Isolation Forest-Based Anomaly Detection Through Generation Offers and Optimal Dispatch Data

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Anomaly Network Traffic Detection of Wireless Network System

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IoT Anomaly Detection and Attack Identification Using Smart Traffic Classification Techniques

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Deep Learning-Based Statistical Anomaly Detection for Credit Card Fraud Using Visual and Tabular Data Fusion

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Large Language Models for Anomalous Event Detection from Temporal Point Processes

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Selected Topics of Artificial Intelligence in Robotics

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Uncovering Issues in the Radio Access Network by Looking at the Neighbors

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Two-stage machine learning for efficient network intrusion detection in software defined networks

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PQC-OAV in Action: A High-Fidelity Prototype for Evidential Assurance of PQC in TLS

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Ptu: Pre-Trained Model for Network Traffic Understanding

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Multiclass Intrusion Detection in IIoT Environments Using Attention Mechanisms and Optimized LSTM Networks

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Implementing OpenFlow, Exploring the Present and Future Software-Defined Networks Ecosystem

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Privacy Preservation on the Cloud Data Multikeyword Search Using Deep Learning

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Intelligent Anomaly Detection System for Critical Network Infrastructure

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Efficient Throughput Degradation Prediction in Telco Networks using Anomaly Detection

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Cloud Data Anomaly Detection using Machine Learning

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Applying Artificial Intelligence in Telecommunication Networks

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Abnormality Detection in Network Traffic by Classification and Graph Data Analysis

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892293openalex-snapshot

Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650425openalex-snapshot

Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229084openalex-snapshot

Data Valuation Method Based on Federated Learning and Shapley Value

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TrustMyIDS: A BERT-Based Intrusion Detection System for Network Security

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Case Study: Understanding Internet Anomalies

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Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models

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Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series

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SIBW: A Swarm Intelligence-Based Network Flow Watermarking Approach for Privacy Leakage Detection in Digital Healthcare Systems

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Hybrid Machine Learning-Based Real-Time Network Anomaly Detection Using System Logs and NetFlow Data in the ELK Stack

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A Unified Federated Framework for Trust Management and Privacy-Preserving Anomaly Detection in Zero Trust Edge Networks

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Anomaly Detection in Industrial Networks: Current State, Classification, and Key Challenges

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Deep Learning-Based Intrusion Detection for IoT Devices Using Energy Anomaly

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RCAND: Network Traffic Analysis of Redundant Transmissions for Anomaly Detection

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On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G

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Few-Shot Early Defect Detection in Industrial Manufacturing Using Explainable Siamese Networks

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Network Anomaly Detection Using Federated Learning

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Large Language Models Can be Few-Shot Server Anomaly Detector

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Organizing and Augmenting Cybersecurity Knowledge Using Generative AI

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Anomaly Detection of Network Traffic by Latent Dirichlet Allocation

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Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

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Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata

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Anomaly Detection in Network Management Based on Artificial Intelligence: Algorithms and Applications

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Real-Time IoT Traffic Anomaly Detection Using Smart Contract and Machine Learning

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Internet Outages During Times of Conflict

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Robust Resource Sharing in Network Slicing via Hypothesis Testing

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Anomaly Detection for IoT Global Connectivity

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TIGER: An Open-Source Cyber-Threat Intelligence Game Environment for Reinforcement Learning

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Failure Prediction in Cloud Native 5G Core With eBPF-based Observability

inferred← citeshttps://doi.org/10.1145/3583133.3590600openalex-snapshot

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data

inferred← citeshttps://doi.org/10.1145/3607199.3607206openalex-snapshot

Flow-MAE: Leveraging Masked AutoEncoder for Accurate, Efficient and Robust Malicious Traffic Classification

inferred← citeshttps://doi.org/10.1145/3712256.3726347openalex-snapshot

Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices

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Adaptive network anomaly detection using machine learning approaches

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A Study on Heuristic Algorithms Combined With LR on a DNN-Based IDS Model to Detect IoT Attacks

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Adaptive AI-Based Anomaly Detection Framework for SaaS Platform Security

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Research on the Impact of Data Volume on the Accuracy of Anomaly Detection Methods in Network Traffic

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Intelligent Malware Detection: Harnessing J48 Decision Trees and Gradient Boosting for Enhanced Security

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Enhancing Trust Management in Peer‐to‐Peer Networks Through Blockchain‐Based Machine Learning Anomaly Detection

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T-MAW: Online Network Traffic Monitoring and Analysis using Weighted Stochastic Block Models

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Bot ahead! - Proactive Botnet Defense in ISP Networks using Digital Twins

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The Development of a New System for Generating Training Data of AI-Based Anomaly Detection

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Network Intrusion Detection System Using Random Forest

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Random Fourier Approximation of the Kernel Function in Programmable Networks

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A New Solution to Intrusion Detection Systems Based on Improved Federated-Learning Chain

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A Comparative Performance Analysis of Machine Learning Models for Intrusion Detection Classification

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Performance Analysis of Random Forest Algorithm for Network Anomaly Detection using Feature Selection

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Enhancing university network security through ML-based detection of DDoS and ARP spoofing attacks: a systematic review

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Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation

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A Network Traffic Abnormal Detection Method: Sketch-Based Profile Evolution

inferred← citeshttps://doi.org/10.3390/app15094795openalex-snapshot

IoTBystander: A Non-Intrusive Dual-Channel-Based Smart Home Security Monitoring Framework

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A Machine-Learning-Based Approach for the Detection and Mitigation of Distributed Denial-of-Service Attacks in Internet of Things Environments

inferred← citeshttps://doi.org/10.3390/computers14110450openalex-snapshot

Cross-Domain Adversarial Alignment for Network Anomaly Detection Through Behavioral Embedding Enrichment

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A Rigorous Comparative Study of Supervised Machine Learning Techniques for Network Anomaly Detection: Empirical Insights from the UNSW-NB15 Dataset

inferred← citeshttps://doi.org/10.3390/electronics12112355openalex-snapshot

Rule-Based System with Machine Learning Support for Detecting Anomalies in 5G WLANs

inferred← citeshttps://doi.org/10.3390/electronics15010109openalex-snapshot

A Predictive-Reactive Learning Framework for Cellular-Connected UAV Handover in Urban Heterogeneous Networks

inferred← citeshttps://doi.org/10.3390/electronics15081603openalex-snapshot

Cost-Aware Lightweight Deep Learning for Intrusion Detection: A Comparative Study on UNSW-NB15 and CIC-IDS2017

inferred← citeshttps://doi.org/10.3390/info14090509openalex-snapshot

An Empirical Study of Deep Learning-Based SS7 Attack Detection

inferred← citeshttps://doi.org/10.3390/math13132074openalex-snapshot

Neuro-Driven Agent-Based Security for Quantum-Safe 6G Networks

inferred← citeshttps://doi.org/10.3390/s22239326openalex-snapshot

Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection

inferred← citeshttps://doi.org/10.3390/s23115340openalex-snapshot

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

inferred← citeshttps://doi.org/10.34218/ijcet_15_01_014openalex-snapshot

AI-AUGMENTED DEVSECOPS: AUTOMATING THREAT DETECTION AND COMPLIANCE IN CLOUD-NATIVE PIPELINES USING TELEMETRY AND POLICY-AS-CODE

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SDN Ecosystem Implementation

inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24mar1231openalex-snapshot

Artificial Intelligence and Machine Learning Techniques for Anomaly Detection and Threat Mitigation in Cloud-Connected Medical Devices

inferred← citeshttps://doi.org/10.38124/ijsrmt.v3i3.26openalex-snapshot

Artificial Intelligence and Machine Learning Techniques for Anomaly Detection and Threat Mitigation in Cloud-Connected Medical Devices

inferred← citeshttps://doi.org/10.4018/978-1-6684-8666-5.ch005openalex-snapshot

Classification of Firewall Log Files Using Supervised Machine Learning Techniques

inferred← citeshttps://doi.org/10.4018/979-8-3373-2115-8.ch009openalex-snapshot

Machine Learning for Threat Detection

inferred← citeshttps://doi.org/10.4018/979-8-3373-2252-0.ch004openalex-snapshot

Anomaly Detection With Machine Learning

inferred← citeshttps://doi.org/10.4018/979-8-3693-1686-3.ch008openalex-snapshot

Unleashing IoT Data Insights

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Harnessing AI for Enhanced Cybersecurity

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Artificial Intelligence-Aided Next Generation Cloud Computing Networks

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Network Attack Detection Using Machine Learning Methods

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Nonlinear Time Series Analysis for Anomaly Detection in Cybersecurity using Cloud IoT

inferred← citeshttps://doi.org/10.52783/jier.v3i2.2938openalex-snapshot

AI-Driven Threat Detection and Mitigation in Cloud Infrastructure: Enhancing Security through Machine Learning and Anomaly Detection

inferred← citeshttps://doi.org/10.5753/jisa.2025.4894openalex-snapshot

Machine Learning-Based Strategy for Joint User Association and Resource Allocation in Next-Generation Networks

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Analyzing Energy and Performance Trade-offs for Network Anomaly Detection based on Deep Learning

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The Detecting Abnormal Operations in ICS Using Finite-State Machines

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Case Study: The Next Generation of Network Management - AI, Automation, and Security in a Connected World

inferred← citeshttps://doi.org/10.61841/turcomat.v9i3.14670openalex-snapshot

Cybersecurity And Artificial Intelligence: How AI Is Being Used in Cybersecurity To Improve Detection And Response To Cyber Threats

inferred← citeshttps://doi.org/10.7166/34-3-2943openalex-snapshot

A TAXONOMY OF UNIVARIATE ANOMALY DETECTION ALGORITHMS FOR PREDICTIVE MAINTENANCE

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Integration of Machine Learning and Human Expertise for the Improvement of Cybersecurity: Applications and Challenges

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.