Paper Citation Record · LEDGER

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.13962.

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

pith.paper-citation-record.v1
2501.13962 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:11:47.066887Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

31 of 31 outbound references displayed

verified exact2
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12c2ce65-4ba3-43fa-ad5d-17cc277ba738 · outbound

This paper cites Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:11:46.887276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d37d8e01-6c91-4587-862d-7a6d8eabcc9d · outbound

This paper cites Deep learning for cyber threat detection in IoT networks: A review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Deep learning for cyber threat detection in IoT networks: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.738901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f9a49eb-f59e-4205-a55a-9e6f39ff5b98 · outbound

This paper cites A comprehensive study of DDoS attacks over IoT network and their countermeasures,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A comprehensive study of DDoS attacks over IoT network and their countermeasures,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.720848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a05eb7b4-6ff5-4096-806d-ef37808aadfc · outbound

This paper cites A lightweight multi-vector DDoS detection framework for IoT-enabled mobile health informatics systems using deep learning,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A lightweight multi-vector DDoS detection framework for IoT-enabled mobile health informatics systems using deep learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.703627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b322043-a99d-4e4b-a6cd-64bf0fecacc5 · outbound

This paper cites A secure image encryption scheme based on genetic operations and a new hybrid pseudo random number generator,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A secure image encryption scheme based on genetic operations and a new hybrid pseudo random number generator,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.687261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d2dc15a-43e6-4e1d-85f1-5bc6536818a2 · outbound

This paper cites Enhancing IoT security with cnn and lstm-based intrusion detection systems,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Enhancing IoT security with cnn and lstm-based intrusion detection systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.668978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a52e4041-205c-4683-b837-5a3d831f342f · outbound

This paper cites Evolution of IoT to IIoT: Applications & challenges,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Evolution of IoT to IIoT: Applications & challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.653230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b014197-7dd4-4464-a22e-f1064a0e7d0f · outbound

This paper cites Gaainet: A generative adversarial artificial immune network model for intrusion detection in industrial IoT systems,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Gaainet: A generative adversarial artificial immune network model for intrusion detection in industrial IoT systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.637074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1bfe93d-ee6c-4251-abd1-c402877751b7 · outbound

This paper cites Securing a smart home with a transformer- based iot intrusion detection system,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Securing a smart home with a transformer- based iot intrusion detection system,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.620994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53d94aaf-02e8-4127-9ef3-3691c2a90e80 · outbound

This paper cites Reinforcement-learning-based intrusion detection in communication networks: A review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Reinforcement-learning-based intrusion detection in communication networks: A review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.604927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5dbabf5b-1605-4ecb-b50a-674d5e044924 · outbound

This paper cites Using ml and dl algorithms for intrusion detection in the industrial internet of things,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Using ml and dl algorithms for intrusion detection in the industrial internet of things,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.589003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874c36ef-1cf7-4bbd-959d-0bac7eaf801c · outbound

This paper cites A hybrid cnn+ lstm-based intrusion detection system for industrial IoT networks,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A hybrid cnn+ lstm-based intrusion detection system for industrial IoT networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.572652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bb2ee80-5e63-46ac-826f-3de9cbd7ee5e · outbound

This paper cites ABDNN-IDS: Attention-based deep neural networks for intrusion detection in industrial IoT,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models ABDNN-IDS: Attention-based deep neural networks for intrusion detection in industrial IoT,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.556347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e007769c-ac00-4691-b848-1bf551db42f6 · outbound

This paper cites Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:11:47.294828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d46714c-ab58-4723-9ca5-73804da0f810 · outbound

This paper cites Machine learning and vision transformers for thyroid carcinoma diagnosis: A review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Machine learning and vision transformers for thyroid carcinoma diagnosis: A review,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-10T17:11:47.270103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94a72e35-06dc-4cf3-aa69-4f0c6aa37864 · outbound

This paper cites Automatic speech recognition with bert and ctc transformers: A review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Automatic speech recognition with bert and ctc transformers: A review,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.537854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31169014-2517-44a5-b007-aae392d6940e · outbound

This paper cites A self- attention-based deep convolutional neural networks for IIoT networks intrusion detection,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A self- attention-based deep convolutional neural networks for IIoT networks intrusion detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.521652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40b2f57a-6fb5-4581-8031-bc9d537b9406 · outbound

This paper cites A hybrid cnn-lstm model for iiot edge privacy-aware intrusion detection,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models A hybrid cnn-lstm model for iiot edge privacy-aware intrusion detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.506407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1962b18-c3fd-49d0-ae27-2e6674acb8ef · outbound

This paper cites Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.489487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdc913af-2c7a-4fa8-b0e8-f4c51d2fc5fe · outbound

This paper cites Magru-ids: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Magru-ids: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.471424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d484a77-6edf-4a02-a56f-1196bd2d5d46 · outbound

This paper cites Attention is all you need,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Attention is all you need,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:11:47.012749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22feb93e-f893-499e-b969-f0bdc416e2e4 · outbound

This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Automatic speech recognition using advanced deep learning approaches: A survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.443183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34d1d021-bf75-4c79-a0df-f6081e4b8c73 · outbound

This paper cites Edge- IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Edge- IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.427118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 502421ea-d09b-4b51-83c0-b329482c4e67 · outbound

This paper cites Deep reinforcement learning for intrusion detection in IoT: A survey,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Deep reinforcement learning for intrusion detection in IoT: A survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.410791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b76b1de3-a9ef-4045-b327-5254b7993e68 · outbound

This paper cites Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.394907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13e6a1d8-baed-4cdf-a394-377793ec3047 · outbound

This paper cites Robustness evaluations of sustainable machine learning models against data poisoning attacks in the internet of things,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Robustness evaluations of sustainable machine learning models against data poisoning attacks in the internet of things,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.377389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bff6a8f8-acf2-459e-b381-331fa7936a72 · outbound

This paper cites Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.359821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 720c4c85-1048-49b3-a1c1-dec692155f43 · outbound

This paper cites Analysis of ton-iot, unw-nb15, and edge-iiot datasets using dl in cybersecurity for iot,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Analysis of ton-iot, unw-nb15, and edge-iiot datasets using dl in cybersecurity for iot,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.342674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab6c9756-ae5b-4e62-9042-8ebc47310fd4 · outbound

This paper cites Secure IIoT networks with hybrid cnn-gru model using edge-IIoTset,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Secure IIoT networks with hybrid cnn-gru model using edge-IIoTset,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.326784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f375769-6be0-4db4-991d-85b76ffc9d83 · outbound

This paper cites An intrusion detection system for edge-envisioned smart agriculture in extreme environment,.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models An intrusion detection system for edge-envisioned smart agriculture in extreme environment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:11:47.311371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9d30cc1-fbc4-446c-b10a-4d0e582b8a66 · outbound

This paper cites Federated Learning for Computer Vision.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Federated Learning for Computer Vision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T17:11:47.066887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.