Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2603.23416.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.23416 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:36:30.099568Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd6a4d38-b93d-4932-a4ae-3d430b937bad · outbound

This paper cites Integration of 5g and opc ua for smart manufacturing of the future.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Integration of 5g and opc ua for smart manufacturing of the future

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.935818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec3369a-01bb-403d-874f-53c1a9140793 · outbound

This paper cites Private 5G: The Future of Industrial Wireless.IEEE Industrial Electronics Magazine, 14(4): 136–145, 2020.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Private 5G: The Future of Industrial Wireless.IEEE Industrial Electronics Magazine, 14(4): 136–145, 2020

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.941517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e37ba553-a63f-4af0-ba8b-c940fd973a05 · outbound

This paper cites 5g security challenges and opportunities: A system approach.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks 5g security challenges and opportunities: A system approach

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.946682Z

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Unavailable: canonical work link unavailable.

Observation cf4c5ae1-7668-4e37-9541-a4addc931078 · outbound

This paper cites Easing the conscience with opc ua: an internet-wide study on insecure deployments.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Easing the conscience with opc ua: an internet-wide study on insecure deployments

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.951291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9deaeb41-0bb9-408b-9a29-15b1bd18e342 · outbound

This paper cites The Performance of OPC-UA Security Model at Field Device Level.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks The Performance of OPC-UA Security Model at Field Device Level

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.956428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686e2ec9-2aac-4cfd-98ac-a2eb36c555b5 · outbound

This paper cites OPC UA Security Analysis, 2017.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks OPC UA Security Analysis, 2017

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.961442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc66d0f-e221-4998-a6ff-15f1bff27d00 · outbound

This paper cites Opc ua security analysis.Federal Office for Information Security (BSI), 2022.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Opc ua security analysis.Federal Office for Information Security (BSI), 2022

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.966560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b2d2cb-55c2-46c5-b78a-0b820a122e34 · outbound

This paper cites Simulating and Detecting Attacks of Untrusted Clients in OPC UA Networks.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Simulating and Detecting Attacks of Untrusted Clients in OPC UA Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.971274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe80a4b8-4b04-4d59-8dfb-053d5aef370e · outbound

This paper cites Assessing the Impact of Attacks on opc-ua Applications in the Industry 4.0 Era.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Assessing the Impact of Attacks on opc-ua Applications in the Industry 4.0 Era

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.976716Z

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Unavailable: canonical work link unavailable.

Observation 2ada88d3-9bb8-445d-99e6-5b8aa38674b9 · outbound

This paper cites Deep Learning-based Enhanced Security in Cyber- Physical Systems: A Multi-Attack Perspective.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Deep Learning-based Enhanced Security in Cyber- Physical Systems: A Multi-Attack Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.982513Z

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Unavailable: canonical work link unavailable.

Observation 14a71da8-ae76-4eb3-bbf5-837fc26e427a · outbound

This paper cites Research on network traffic identification based on machine learning and deep packet inspection.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Research on network traffic identification based on machine learning and deep packet inspection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.987239Z

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Observation f46f0d51-96f2-4272-bd27-b16bd1fc39a6 · outbound

This paper cites Ai-based network security enhancement for 5g industrial internet of things environments.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Ai-based network security enhancement for 5g industrial internet of things environments

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.992220Z

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Observation 0dd11f5b-7cb1-4722-9823-71888592b172 · outbound

This paper cites Role of machine learning and deep learning in securing 5g-driven industrial iot applications.Ad Hoc Networks, 123:102685, 2021.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Role of machine learning and deep learning in securing 5g-driven industrial iot applications.Ad Hoc Networks, 123:102685, 2021

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:29.997723Z

Source-reported events for the cited work

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Observation e12419c7-67bf-406c-921b-28f0577a40a6 · outbound

This paper cites Vet5g: A virtual end-to-end testbed for 5g network security experimentation.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Vet5g: A virtual end-to-end testbed for 5g network security experimentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.003457Z

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Observation ac7a7512-91c9-40d4-868f-a3596e91232d · outbound

This paper cites An experimental testbed for 5g network security assessment.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks An experimental testbed for 5g network security assessment

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.007860Z

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Observation a003c3c6-058e-4ddb-9c24-f057b14c8e49 · outbound

This paper cites A 5g and beyond testbed for cybersecurity research and education.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks A 5g and beyond testbed for cybersecurity research and education

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.013374Z

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Observation 58faebae-c678-48d9-9f61-a353188dc000 · outbound

This paper cites A case study on the representativeness of public DoS network traffic data for cybersecurity research.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks A case study on the representativeness of public DoS network traffic data for cybersecurity research

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.017570Z

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Unavailable: canonical work link unavailable.

Observation 3893c667-2ae5-4bb3-b88b-99e1819c7498 · outbound

This paper cites A Survey on Industrial Control System Testbeds and Datasets for Security Research.IEEE Communications Surveys & Tutorials, 23(4):2248–2294, 2021.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks A Survey on Industrial Control System Testbeds and Datasets for Security Research.IEEE Communications Surveys & Tutorials, 23(4):2248–2294, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.021779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afafa8ea-e1b6-4f40-8149-0d15b91d8ba0 · outbound

This paper cites Testing Commercial Intrusion Detection Systems for Industrial Control Systems in a Substation Hardware in the Loop Testlab.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Testing Commercial Intrusion Detection Systems for Industrial Control Systems in a Substation Hardware in the Loop Testlab

Reference 19

Resolution: verified exact; doi, observed 2026-08-02T17:38:42.518844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee5adde3-d802-461e-8e37-fad818466922 · outbound

This paper cites A Review of Deep Learning IDS for DDoS Attacks in WLANs.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks A Review of Deep Learning IDS for DDoS Attacks in WLANs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.031899Z

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Observation 673dbaa9-3f3f-410f-bc24-6c4160f1556e · outbound

This paper cites Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.042324Z

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Unavailable: canonical work link unavailable.

Observation 4200e20c-f451-482c-8ac1-4c71bdd74dc0 · outbound

This paper cites It-ot integration challenges in utilities.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks It-ot integration challenges in utilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.047484Z

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Observation b19cd0b9-9fca-4677-96c0-2b3d27bfdec9 · outbound

This paper cites September 2023.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks September 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.052221Z

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Unavailable: canonical work link unavailable.

Observation d6d237a3-b160-483e-98d5-6213595e64ef · outbound

This paper cites Licster – a low-cost ics security testbed for education and research.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Licster – a low-cost ics security testbed for education and research

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.056924Z

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Observation bf86e9ef-ce66-40db-84d1-5ce0256c2782 · outbound

This paper cites Creating a european scada security testbed.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Creating a european scada security testbed

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.067891Z

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Unavailable: canonical work link unavailable.

Observation ba82bd3b-7382-45f0-87ba-263a218404e0 · outbound

This paper cites OTG: A Gateway for Cybersecurity in the Context of OPC UA PubSub Pattern.Journal of Physics: Conference Series, 1693(1):012016, December 2020.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks OTG: A Gateway for Cybersecurity in the Context of OPC UA PubSub Pattern.Journal of Physics: Conference Series, 1693(1):012016, December 2020

Reference 26

Resolution: verified exact; doi, observed 2026-08-02T17:38:41.907162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f01fffca-3546-4394-9242-6ac7a869c85d · outbound

This paper cites TR 21.916 version 16.2.0 Release 16.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks TR 21.916 version 16.2.0 Release 16

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.079050Z

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Observation 2d62ae71-2504-421b-95ea-cf55ddb6620a · outbound

This paper cites 5G NR Jam- ming, Spoofing, and Sniffing: Threat Assessment and Mitigation.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks 5G NR Jam- ming, Spoofing, and Sniffing: Threat Assessment and Mitigation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.084637Z

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Observation d429c919-be9e-4ceb-9556-e698b8310eb3 · outbound

This paper cites Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.089469Z

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Observation fe9877ee-1e7a-476b-aff3-907d3d46fa34 · outbound

This paper cites Factory I/O: 3D factory simulation software.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Factory I/O: 3D factory simulation software

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.094808Z

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Observation 43350394-0354-4019-80e7-bdfc493139dc · outbound

This paper cites Opc-ua exploitation framework.

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

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T17:36:30.099568Z

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Observation e410c492-e016-423a-9989-ba205431d5a6 · outbound

This paper cites an unresolved cited work.

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

Reference 2019

Resolution: verified exact; doi, observed 2026-08-02T17:38:42.245925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.