Cover Image

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ha, Song Son, Singh, Kunal, Foerster, Florian, Beuster, Henry, Kittel, Tim, Merli, Dominik, Scholl, Gerd
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
by: Ha, Song Son, et al.
Published: (2025)

OPC UA for IO-Link Wireless in a Cyber Physical Finite Element Sensor Network for Shape Measurement
by: Beuster, Henry, et al.
Published: (2025)

Secure Data Bridging in Industry 4.0: An OPC UA Aggregation Approach for Including Insecure Legacy Systems
by: Sain, Dalibor, et al.
Published: (2026)

Simplicity over Complexity: An ARN-Based Intrusion Detection Method for Industrial Control Network
by: Liu, Ziyi, et al.
Published: (2024)

Deployment Challenges of Industrial Intrusion Detection Systems
by: Wolsing, Konrad, et al.
Published: (2024)

Pk-IOTA: Blockchain empowered Programmable Data Plane to secure OPC UA communications in Industry 4.0
by: Lorenzo, Rinieri, et al.
Published: (2025)

Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection
by: Arpaci, Onur Eren, et al.
Published: (2025)

Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025)

Private Data Imputation
by: Kati, Abdelkarim, et al.
Published: (2025)

QML-IDS: Quantum Machine Learning Intrusion Detection System
by: Abreu, Diego, et al.
Published: (2024)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
by: Hossain, Md Zakir, et al.
Published: (2026)

Federated Intrusion Detection System Based on Unsupervised Machine Learning
by: Gourceyraud, Maxime, et al.
Published: (2025)

Privacy-Computation trade-offs in Private Repetition and Metaselection
by: Talwar, Kunal
Published: (2024)

How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios
by: Xiao, Yue, et al.
Published: (2026)

Proofs of No Intrusion
by: Goyal, Vipul, et al.
Published: (2025)

CRSet: Private Non-Interactive Verifiable Credential Revocation
by: Hoops, Felix, et al.
Published: (2025)

GeoGuard: UWB Timing-Encoded Key Reconstruction for Location-Dependent, Geographically Bounded Decryption
by: Mukherjee, Kunal
Published: (2025)

Private Iris Recognition with High-Performance FHE
by: Ha, Jincheol, et al.
Published: (2026)

Quantitative Analysis of UAV Intrusion Mitigation for Border Security in 5G with LEO Backhaul Impairments
by: Upadhyay, Rajendra, et al.
Published: (2025)

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
by: Yang, Wanrong, et al.
Published: (2024)

CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
by: Gohari, Rasoul Jafari, et al.
Published: (2024)

Advances in Differential Privacy and Differentially Private Machine Learning
by: Das, Saswat, et al.
Published: (2024)

Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks
by: Son, Bui Duc, et al.
Published: (2025)

PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT
by: Duy, Phan The, et al.
Published: (2026)

Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
by: Wang, Zihao, et al.
Published: (2024)

Scalable Private Search with Wally
by: Asi, Hilal, et al.
Published: (2024)

On Privately Estimating a Single Parameter
by: Asi, Hilal, et al.
Published: (2025)

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
by: Singh, Ronal, et al.
Published: (2025)

Intrusion Detection in Internet of Vehicles Using Machine Learning
by: Le, Hop, et al.
Published: (2025)

DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks
by: Chen, Jing, et al.
Published: (2025)

LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection
by: Gungor, Onat, et al.
Published: (2025)

Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
by: Kornowski, Guy, et al.
Published: (2024)

An Undeniable Signature Scheme Utilizing Module Lattices
by: Dey, Kunal, et al.
Published: (2024)

Adaptive Batch Size for Privately Finding Second-Order Stationary Points
by: Liu, Daogao, et al.
Published: (2024)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

New Machine Learning Approaches for Intrusion Detection in ADS-B
by: Ngamboé, Mikaëla, et al.
Published: (2025)

On the Challenges of Holistic Intrusion Detection in ICS
by: Lenz, Stefan, et al.
Published: (2026)

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
by: Lang, Natalie, et al.
Published: (2023)

Differentially Private Data Generation with Missing Data
by: Mohapatra, Shubhankar, et al.
Published: (2023)

LLM-driven Provenance Forensics for Threat Investigation and Detection
by: Mukherjee, Kunal, et al.
Published: (2025)