Paper Citation Record · LEDGER

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.06138.

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

pith.paper-citation-record.v1
2502.06138 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:40:48.556794Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact5
verified fuzzy5
unresolved11
parse uncertain0
malformed identifier2
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6ddaca4-4d83-4cb4-afd3-699af0136751 · outbound

This paper cites Buchanan,” SkipGateNet: A Lightweight CNN -LSTM hybrid model with learnable skip connections for efficient botnet attack detec - tion in IoT”, IEEE Access, vol.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Buchanan,” SkipGateNet: A Lightweight CNN -LSTM hybrid model with learnable skip connections for efficient botnet attack detec - tion in IoT”, IEEE Access, vol

Reference 1

Resolution: verified exact; doi, observed 2026-08-08T16:40:48.617851Z

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 8a26796b-5428-46fa-8d0f-fbc7d6e21707 · outbound

This paper cites Szewczyk, and J.J Kang, Malbot - DRL: Malware botnet detection using deep reinforcement learning in IOT Net- works.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Szewczyk, and J.J Kang, Malbot - DRL: Malware botnet detection using deep reinforcement learning in IOT Net- works

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.469799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88fe157-ba4f-48fa-ad64-4db5f3e6ea8b · outbound

This paper cites Improving IOT security with explainable AI: Quantitative evaluation of explainability for IOT botnet detection.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Improving IOT security with explainable AI: Quantitative evaluation of explainability for IOT botnet detection

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:50.661776Z

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 c66d6253-70ad-4b04-bb90-0c73d0725aab · outbound

This paper cites A domain embedding model for botnet detection based on Smart Blockchain.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment A domain embedding model for botnet detection based on Smart Blockchain

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:50.541730Z

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 a12f98d0-d43f-4ad7-bb1b-2a123cb3f108 · outbound

This paper cites Big Data Mining and Analytics, vol.7, no.2, pp.500 –511, April 2024, https://doi.org/10.26599/bdma.2023.9020027.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Big Data Mining and Analytics, vol.7, no.2, pp.500 –511, April 2024, https://doi.org/10.26599/bdma.2023.9020027

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:50.452559Z

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 25d6b031-3e91-4084-9364-ee6fa6aa9259 · outbound

This paper cites Bao and E.Dutkiewicz,”Constrained twin variational auto-encoder for intrusion detection in IOT Systems”.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Bao and E.Dutkiewicz,”Constrained twin variational auto-encoder for intrusion detection in IOT Systems”

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.482441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcf1e8b-8fc2-4cca-b165-42eb4cb136b5 · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:50.289001Z

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 3eb9918d-bd10-4e2d-8c9a-34ddc42946ae · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.488493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec36f558-2520-45e1-afdf-ea4ee3a96519 · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.491164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776afc64-2631-4617-a303-8986e85cc864 · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-08T16:40:49.754111Z

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 c6e004ca-3619-4bf3-95c2-b4e8e7a89c1c · outbound

This paper cites Raza, H.Nazari and M.Almutiry.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Raza, H.Nazari and M.Almutiry

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.496860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc1b72f-faaa-44a0-a909-526e307ff2be · outbound

This paper cites Nugraha, A.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Nugraha, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:40:50.796253Z

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 60c31b1e-439e-462e-877e-4304ad6da9d4 · outbound

This paper cites Karunakaran,” Deep learning approach to DGA cla ssification for effective cyber security”, J.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Karunakaran,” Deep learning approach to DGA cla ssification for effective cyber security”, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:40:50.785552Z

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 f22b2e77-37c8-467f-87b5-b3e2a0329af5 · outbound

This paper cites W.Wardhani, D.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment W.Wardhani, D

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:49.680519Z

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 20d581f2-6c60-4e91-aa9a-64a94a1edb44 · outbound

This paper cites Salama, I.Yaseen, and A.A.Alneil, ”Hybrid metaheuristics with machine learning based botnet detection in cloud assisted internet of things environment”.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Salama, I.Yaseen, and A.A.Alneil, ”Hybrid metaheuristics with machine learning based botnet detection in cloud assisted internet of things environment”

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.507956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c57aa99-a885-43e6-b097-3c490f13d52a · outbound

This paper cites IEEE Access, vol.9, pp.141154 –141166,2021 https://doi.org/10.1109/access.2021.3119575.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment IEEE Access, vol.9, pp.141154 –141166,2021 https://doi.org/10.1109/access.2021.3119575

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.510781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f31556-084f-4402-951d-652797530468 · outbound

This paper cites Wu,” Network intrusion detection combined hybrid sampling with deep hierarchical network.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Wu,” Network intrusion detection combined hybrid sampling with deep hierarchical network

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.513515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d486c1-0a83-408a-9abd-16acdc41b3fa · outbound

This paper cites Habaebi,M.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Habaebi,M

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:48.516403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95aa7278-0964-4c5a-8f37-0565f534a291 · outbound

This paper cites Jabbar,A.S.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Jabbar,A.S

Reference 20

Resolution: verified exact; doi, observed 2026-08-08T16:40:48.598656Z

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 4d303bff-f8cf-4666-b84f-a6c61a3b1bb4 · outbound

This paper cites Sriram,P.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Sriram,P

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T16:40:48.926554Z

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 7ed235a4-2eb6-4798-9a6f-0e4a8584527e · outbound

This paper cites Moustafa and J.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Moustafa and J

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-08T16:40:48.529464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60457431-c1ca-4047-a5b4-174600f22a43 · outbound

This paper cites Zeeshan, Q.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Zeeshan, Q

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-08T16:40:48.532773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9422b8c0-b918-44d7-9636-bd59616c56ec · outbound

This paper cites Ahmad, Q.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Ahmad, Q

Reference 24

Resolution: verified exact; doi, observed 2026-08-08T16:40:48.587057Z

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 e7a92dd2-116d-4cf4-ad38-385c86d7e302 · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:40:50.775403Z

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 8f1893e0-cc11-47d2-9089-44fba1bcd657 · outbound

This paper cites Lopez-Martin, B.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Lopez-Martin, B

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:40:50.765802Z

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 6e56bd18-2d32-40e8-b57a-2467866cb0b0 · outbound

This paper cites an unresolved cited work.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:40:50.756384Z

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 b5e665d9-6b35-4845-b677-8e1f92621631 · outbound

This paper cites Halbouni, T.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Halbouni, T

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:40:50.746489Z

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 b9386073-e1b0-4121-9b40-a15e181971c1 · outbound

This paper cites Enhancing IoT Security: A Machine Learning Approach to Intrusion Detection System Evaluation,.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment Enhancing IoT Security: A Machine Learning Approach to Intrusion Detection System Evaluation,

Reference 29

Resolution: verified exact; raw_fallback, observed 2026-08-08T16:40:48.751245Z

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 2fddc07c-30c8-42bc-8ee0-109a9af97dbc · outbound

This paper cites IoT Guardian: An Intelligent Framework for Multi -Class Intrusion Detection with Machine Learning.

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment IoT Guardian: An Intelligent Framework for Multi -Class Intrusion Detection with Machine Learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:40:50.735614Z

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.

Pith citing papers

No inbound Pith citation observations are available.