Paper Citation Record · LEDGER

Omni SCADA Intrusion Detection Using Deep Learning Algorithms

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.01974.

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

pith.paper-citation-record.v1
1908.01974 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:01:20.230726Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

45 of 45 outbound references displayed

verified exact1
verified fuzzy38
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 602563f2-c646-40be-8fcf-e14ae1411645 · outbound

This paper cites An investigation into the response of a water treatment system to cyber attacks,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms An investigation into the response of a water treatment system to cyber attacks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.951873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e556be1-5774-4393-870c-6a89bea66d2d · outbound

This paper cites Research on accident inversion and analysis method of the oil and gas pipeline SCADA system,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Research on accident inversion and analysis method of the oil and gas pipeline SCADA system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.937036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc7ea0a1-292a-421d-9058-ff7e0d57a76f · outbound

This paper cites Stuxnet worm impact on industrial cyber-physical system security,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Stuxnet worm impact on industrial cyber-physical system security,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.921739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da3edfbe-afc8-4fc1-9e6b-4d71b0af92c7 · outbound

This paper cites Snort - lightweight intrusion detection for networks,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Snort - lightweight intrusion detection for networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.907483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a093d7f-58c4-4ce1-b6de-dd14435b5f17 · outbound

This paper cites A hybrid intrusion detection system design for computer network security,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms A hybrid intrusion detection system design for computer network security,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.892891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dec9b446-a180-4753-9fe0-dc30bbc75043 · outbound

This paper cites On cyber attacks and signature based intrusion detection for modbus based industrial control systems,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms On cyber attacks and signature based intrusion detection for modbus based industrial control systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.876668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f84f1fb-7342-44a8-90fb-a858ad8422c7 · outbound

This paper cites SRID: State relation based intrusion detection for false data injection attacks in SCADA,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms SRID: State relation based intrusion detection for false data injection attacks in SCADA,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.861423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 56ebd372-1a87-489a-879a-d80dd9afe766 · outbound

This paper cites A review of anomaly based intrusion detection systems,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms A review of anomaly based intrusion detection systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.846286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3347a184-bf0d-4ef0-a90a-66636bc6e42b · outbound

This paper cites Evaluation of anomaly-based IDS for mobile devices using machine learning classiﬁers,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Evaluation of anomaly-based IDS for mobile devices using machine learning classiﬁers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.830644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a34bbf8-4f48-4207-9969-eeb25d40a865 · outbound

This paper cites Anomaly-based intrusion detection in software as a service,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Anomaly-based intrusion detection in software as a service,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.815480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2469fd18-4399-4f60-bab7-64110e85fcd2 · outbound

This paper cites Anomaly intrusion detection system in wireless sensor networks: security threats and existing approaches,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Anomaly intrusion detection system in wireless sensor networks: security threats and existing approaches,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.800649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 902e9140-3bfd-4944-be08-9c7eeb009190 · outbound

This paper cites Neural network based intrusion detection system for critical infrastructures,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Neural network based intrusion detection system for critical infrastructures,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.786124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3168864b-9c16-4047-9534-0298fe38b209 · outbound

This paper cites Detecting anomalies in process control networks,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Detecting anomalies in process control networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.770453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bd4a7444-5d04-4a10-9191-6d9ce9237f63 · outbound

This paper cites Intrusion detection using artiﬁcial neural network,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Intrusion detection using artiﬁcial neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.755746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f8b94c0-3afc-42ba-9da1-216942084e58 · outbound

This paper cites Distributed intrusion detection system in a multi-layer network architecture of smart grids,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Distributed intrusion detection system in a multi-layer network architecture of smart grids,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.741483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc4c9541-eafc-458a-963d-2fac6cdf9834 · outbound

This paper cites Intrusion detection in scada systems using machine learning techniques,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Intrusion detection in scada systems using machine learning techniques,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.726311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f228524e-7507-4cda-baa6-d8848bfa40cd · outbound

This paper cites An implementation of scada network security testbed,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms An implementation of scada network security testbed,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.711461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a9b4b40-4e0e-4161-80a8-7b4bdffab3e1 · outbound

This paper cites Attack class: address spooﬁng,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Attack class: address spooﬁng,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.697425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation caefd043-c6a7-47d1-877b-c23b40948bd3 · outbound

This paper cites Smurf-based distributed denial of service (ddos) attack am- pliﬁcation in internet,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Smurf-based distributed denial of service (ddos) attack am- pliﬁcation in internet,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.682144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8feac383-9775-4211-a3ad-f6d7104988a5 · outbound

This paper cites Implementing attacks for modbus/tcp protocol in a real-time cyber physical system test bed,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Implementing attacks for modbus/tcp protocol in a real-time cyber physical system test bed,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.664419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3f49efb-b1ec-4daa-8c69-adee38a31f9b · outbound

This paper cites Internal security attacks on scada systems,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Internal security attacks on scada systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.648559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0396e19-2e01-4b5e-bb7f-2e0f0747e0ed · outbound

This paper cites Anomaly-based intrusion detection for SCADA systems,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Anomaly-based intrusion detection for SCADA systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.632876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01ed1659-dfb2-4f74-aa56-3795ff7fb65e · outbound

This paper cites On scada control system command and response injection and intrusion detection,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms On scada control system command and response injection and intrusion detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.614129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a98641ca-ed18-41fd-81bb-66351c62ac6d · outbound

This paper cites Integrated ocsvm mechanism for intrusion detection in SCADA systems,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Integrated ocsvm mechanism for intrusion detection in SCADA systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.598673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d703424d-9af1-464d-a984-6684feb23f64 · outbound

This paper cites Speech Recognition with Deep Recurrent Neural Networks.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Speech Recognition with Deep Recurrent Neural Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:20.132009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd45aef7-b03b-4825-9288-e223b58fcef1 · outbound

This paper cites A ﬁrst look at music composition using lstm recurrent neural networks,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms A ﬁrst look at music composition using lstm recurrent neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.582466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f1211e1b-410a-4b63-a1b3-7b928a9ae658 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Sequence to Sequence Learning with Neural Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:20.140979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c45b51d-7991-45bc-95bf-b83b64766a1f · outbound

This paper cites Botnet detection in the internet of things using deep learning approaches,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Botnet detection in the internet of things using deep learning approaches,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.567438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ddb4168c-77aa-4c5d-805d-6f9e1e8a875a · outbound

This paper cites Multi-level anomaly detection in industrial control systems via package signatures and lstm networks,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Multi-level anomaly detection in industrial control systems via package signatures and lstm networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.550623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d16fc414-6b04-48d0-88cb-e149ebcb0cfb · outbound

This paper cites Long short-term memory,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Long short-term memory,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:20.156635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1e1f7f-f601-48e5-aed7-ef7397657628 · outbound

This paper cites Industrial control system trafﬁc data sets for intrusion detection research,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Industrial control system trafﬁc data sets for intrusion detection research,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.522004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3168644d-5d21-4c70-a972-3a6634ea114c · outbound

This paper cites A control system testbed to validate critical infrastructure protection concepts,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms A control system testbed to validate critical infrastructure protection concepts,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.505420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 864f0749-d324-48a2-a448-945adf9fd302 · outbound

This paper cites Hierarchical Online Intrusion Detection for SCADA Networks.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Hierarchical Online Intrusion Detection for SCADA Networks

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:01:20.292949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b4c7fc2-f4f0-491d-a144-0395d6b6370b · outbound

This paper cites IEC-61850 Protocol Analysis and Online Intrusion Detection System for SCADA Networks using Machine Learning,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms IEC-61850 Protocol Analysis and Online Intrusion Detection System for SCADA Networks using Machine Learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.490084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c95558a-6dca-4551-a2a1-89447e04575e · outbound

This paper cites Mblogic homepage.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Mblogic homepage

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.474482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d8937fe-0288-4a37-81b9-b074cca5a36a · outbound

This paper cites an unresolved cited work.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:01:20.458902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 632f68e5-b397-4ef4-b724-335bd76a3714 · outbound

This paper cites Modpoll modbus master simulator.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Modpoll modbus master simulator

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.443404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47e2b3ab-b783-4ade-9abd-55bc99a6f58f · outbound

This paper cites [Online].

Omni SCADA Intrusion Detection Using Deep Learning Algorithms [Online]

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.428106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 31d3afa9-daaa-4fcc-b387-5f25af6d1e67 · outbound

This paper cites Arp spooﬁng: A comparative study for education purposes,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Arp spooﬁng: A comparative study for education purposes,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.413660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 282368fd-bd7c-4145-b4ed-9168014ef6aa · outbound

This paper cites [Online].

Omni SCADA Intrusion Detection Using Deep Learning Algorithms [Online]

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.397488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8970cb74-d268-4779-bfa8-850db9536aa4 · outbound

This paper cites Chollet et al., “Keras,” https://keras.io, 2015.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Chollet et al., “Keras,” https://keras.io, 2015

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:20.208227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281345e7-0ac6-4dda-8250-4b6926c1f1ba · outbound

This paper cites Tensorﬂow: A system for large-scale machine learning,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Tensorﬂow: A system for large-scale machine learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.372236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e87794e5-4133-4cc7-9c9b-cb76b5e48d8a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Adam: A Method for Stochastic Optimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:20.220662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a51a8e0-0149-403b-911a-827ac9758fa8 · outbound

This paper cites Ensemble methods in machine learning,.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Ensemble methods in machine learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.356340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3a1c816-4c81-4ac4-9fe7-7136ea4b86fc · outbound

This paper cites Early stopping-but when?.

Omni SCADA Intrusion Detection Using Deep Learning Algorithms Early stopping-but when?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:20.340412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.