Paper Citation Record · LEDGER

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.05776.

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

pith.paper-citation-record.v1
2606.05776 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T00:51:37.361520Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

23 of 23 outbound references displayed

verified exact1
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d352891f-a575-4dbe-ad9b-102d510522cc · outbound

This paper cites Securing Healthcare with Deep Learning: A CNN-Based Model for Medical IoT Threat Detection,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Securing Healthcare with Deep Learning: A CNN-Based Model for Medical IoT Threat Detection,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f757b78e-7ee1-4a84-ad50-e32581ee7e2b · outbound

This paper cites Machine learning DDoS detection for consumer Internet of Things devices,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Machine learning DDoS detection for consumer Internet of Things devices,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa07fb5-02dd-49f6-bf0d-96b1484a11fe · outbound

This paper cites A deep learning approach for intrusion detection using recurrent neural networks,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks A deep learning approach for intrusion detection using recurrent neural networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e3999f-1a28-4749-888a-104da16c6985 · outbound

This paper cites A deep learning approach for network intrusion detection system,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks A deep learning approach for network intrusion detection system,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c9fe9e-e43a-440c-9025-829e6661d6b5 · outbound

This paper cites Convolutional neural networks for sentence classification,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Convolutional neural networks for sentence classification,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df83f1f8-8545-4d35-ae25-b8e1416474b7 · outbound

This paper cites Long short-term memory,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Long short-term memory,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bc7533-4f77-4685-ae83-069487751073 · outbound

This paper cites A survey of network anomaly detection techniques,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks A survey of network anomaly detection techniques,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983a1396-349e-4168-832b-9dd4cf55228e · outbound

This paper cites Toward an online anomaly intrusion detection system based on deep learning,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Toward an online anomaly intrusion detection system based on deep learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ffaf380-44e4-47c4-9aaf-92895d7764e6 · outbound

This paper cites UNSW-NB15: A comprehensive data set for network intrusion detection systems,.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks UNSW-NB15: A comprehensive data set for network intrusion detection systems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063e2100-f65d-4100-9878-008a23b22d65 · outbound

This paper cites an unresolved cited work.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13eeb2af-c5a4-4d8a-9df8-7815b14446e0 · outbound

This paper cites an unresolved cited work.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd245eed-6f88-45da-8004-e3d40d90a764 · outbound

This paper cites an unresolved cited work.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc09bd7b-a8cb-4e57-81c9-a8ea2b679900 · outbound

This paper cites Goodfellow, Y.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Goodfellow, Y

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c5f502-5492-4cc5-8966-2b64ad3fa226 · outbound

This paper cites Shone, T.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Shone, T

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410557fd-38f8-4d26-94a4-dcda7ceaf560 · outbound

This paper cites an unresolved cited work.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91acd71-e90f-420e-87cd-82bbb648b9de · outbound

This paper cites Moustafa and J.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Moustafa and J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab19213c-4e87-4421-bf9c-5fac8a952580 · outbound

This paper cites Tavallaee et al., ”A detailed analysis of the KDD CUP 99 dataset,” in Proc.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Tavallaee et al., ”A detailed analysis of the KDD CUP 99 dataset,” in Proc

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7489993-8064-4177-acf1-aef6e42eb543 · outbound

This paper cites LeCun, Y.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks LeCun, Y

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d99cdc3-30c9-4df5-8689-d22ac1b2b616 · outbound

This paper cites an unresolved cited work.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3746de6d-f1cc-458b-b49e-c3daa3648257 · outbound

This paper cites Chollet, Deep Learning with Python.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Chollet, Deep Learning with Python

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01266cc3-178c-4b4d-93bb-d3131d4425cf · outbound

This paper cites Krizhevsky, I.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Krizhevsky, I

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34b6b6d-db4c-4b5d-b8ca-65fdeb21aa18 · outbound

This paper cites IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:56:59.454151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12c812a3-7b22-4e71-af6a-9cfa3d7c0ed3 · outbound

This paper cites Ring et al., ”A survey of network-based intrusion detection data sets,” Comput.

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks Ring et al., ”A survey of network-based intrusion detection data sets,” Comput

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T00:51:37.361520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.