Paper Citation Record · LEDGER

Are Trees Really Green? A Detection Approach of IoT Malware Attacks

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.07836.

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

pith.paper-citation-record.v1
2506.07836 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:13.532669Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy30
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34b430cd-0601-4dad-836a-259287567f1c · outbound

This paper cites an unresolved cited work.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:14.018365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb403af6-d4a2-464d-b170-a07db7d0bdc9 · outbound

This paper cites The internet of things: A survey.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks The internet of things: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.998462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 412cfb3d-5eb5-4172-a7d4-ee5619cf8f70 · outbound

This paper cites Maldist: From encrypted traffic classification to malware traffic detection and classification.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Maldist: From encrypted traffic classification to malware traffic detection and classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.982565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6677c347-0ba1-46bb-bcc4-184bf9cab4bb · outbound

This paper cites Extending c2 traffic detection methodologies: From tls 1.2 to tls 1.3-enabled mal- ware.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Extending c2 traffic detection methodologies: From tls 1.2 to tls 1.3-enabled mal- ware

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.964845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af3da713-e37c-48a0-b115-971855ae92d0 · outbound

This paper cites Disclosure: detecting botnet command and control servers through large-scale netflow analysis.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Disclosure: detecting botnet command and control servers through large-scale netflow analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.950476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdaa975e-4291-43cf-ac39-571c659e7739 · outbound

This paper cites eco2ai:Carbonemissionstrack- ing of machine learning models as the first step towards sustainable ai.Doklady Mathematics, 2022.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks eco2ai:Carbonemissionstrack- ing of machine learning models as the first step towards sustainable ai.Doklady Mathematics, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.933409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52ca7832-e264-4d8d-9c8f-1c9cc1605fe0 · outbound

This paper cites ’hide ’n seek’ botnet uses peer-to-peer infrastructure to compro- mise iot devices.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks ’hide ’n seek’ botnet uses peer-to-peer infrastructure to compro- mise iot devices

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.915748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81945984-ea48-4ed3-bdf9-1fe9905f2cb2 · outbound

This paper cites Encryption-agnostic classifiers of traffic originators and their applica- tion to anomaly detection.Computers & Electrical Engineering, 97:107621, 2022.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Encryption-agnostic classifiers of traffic originators and their applica- tion to anomaly detection.Computers & Electrical Engineering, 97:107621, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.900148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22c6da4d-1435-4207-93d9-de700609b055 · outbound

This paper cites Fairandgreenhyperpa- rameter optimization via multi-objective and multiple information source bayesian optimization.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Fairandgreenhyperpa- rameter optimization via multi-objective and multiple information source bayesian optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.887487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d4e6caa-41e0-4d0f-bbb1-bba18aed8fbf · outbound

This paper cites Buchanan.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Buchanan

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.875634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0103a190-7ce2-4f69-9fb8-b500fc4331cc · outbound

This paper cites C2miner: Tricking iot malware into revealing live command & control servers.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks C2miner: Tricking iot malware into revealing live command & control servers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.864602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f596d00-14af-49ff-aad3-578e19295b96 · outbound

This paper cites How to measure energy consumption in machine learning algo- rithms.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks How to measure energy consumption in machine learning algo- rithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.852796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3d9ab3b-75a4-45db-bd92-36c59529920e · outbound

This paper cites Estimation of energy consumption in machine learning.Journal of Parallel and Distributed Computing, 134:75–88, 2019.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Estimation of energy consumption in machine learning.Journal of Parallel and Distributed Computing, 134:75–88, 2019

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.841281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0666b2ae-b084-4e2b-992c-6ba83b41906e · outbound

This paper cites Extremely randomized trees.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Extremely randomized trees

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.827153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0427f9f6-3226-44bd-a913-8249c80351e9 · outbound

This paper cites Long, Bui D.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Long, Bui D

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.814441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ba8875f-0f9c-4ecb-882e-cc9e7362e6f1 · outbound

This paper cites an unresolved cited work.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:13.799497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da5792f7-90e6-4ada-a28a-452e0b5e02b3 · outbound

This paper cites Flow- guard: An intelligent edge defense mechanism against iot ddos attacks.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Flow- guard: An intelligent edge defense mechanism against iot ddos attacks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.787784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48c34bec-3404-48fc-9e8b-ee73c559cb84 · outbound

This paper cites Iot network traffic classification using machine learning algorithms: An experimental analysis.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Iot network traffic classification using machine learning algorithms: An experimental analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.774492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e023d03-5cfd-4dc4-943c-c69656bef268 · outbound

This paper cites New machine learning algorithm: Ran- dom forest.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks New machine learning algorithm: Ran- dom forest

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.761465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf5ac504-aa0c-4f88-a235-218e8bf0efba · outbound

This paper cites an unresolved cited work.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:13.749227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8167cba9-cc83-4500-ac7f-dbec0fa716e7 · outbound

This paper cites Iot: Internet of threats? a survey of practical security vulnerabilities in real iot devices.IEEE Internet of Things Journal, 6(5):8182–8201, 2019.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Iot: Internet of threats? a survey of practical security vulnerabilities in real iot devices.IEEE Internet of Things Journal, 6(5):8182–8201, 2019

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.737888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd486d18-5c19-4664-ada6-76dfdbbe537e · outbound

This paper cites Threats of internet-of- thing on environmental sustainability by e-waste.Sustainability, 2022.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Threats of internet-of- thing on environmental sustainability by e-waste.Sustainability, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.725663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06129dcc-d8ab-4762-b54e-520d4687fcc5 · outbound

This paper cites Jurcut, and Mari- anne A.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Jurcut, and Mari- anne A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.713155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfeec986-99c8-49fc-a2dc-0f721db4f94d · outbound

This paper cites Overview of use of decision tree algorithms in machine learning.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Overview of use of decision tree algorithms in machine learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.700741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae40189e-ba1d-4f43-bfd7-d641059891f1 · outbound

This paper cites Landscape of iot security.Computer Science Review, 44:100467, 2022.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Landscape of iot security.Computer Science Review, 44:100467, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.687236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation abd25580-e2db-473e-ac50-c7db072aa404 · outbound

This paper cites Iot-23: A labeled dataset with malicious and benign iot network traffic.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Iot-23: A labeled dataset with malicious and benign iot network traffic

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.674778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 319012a0-06cf-4470-aadf-1e2384b67a68 · outbound

This paper cites Selcuk Uluagac, and Vehbi Cagri Gun- gor.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Selcuk Uluagac, and Vehbi Cagri Gun- gor

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.661308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 837fe65e-cf91-44ec-ae0d-eb3213525482 · outbound

This paper cites an unresolved cited work.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:13.646936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b72fc4d-95fd-4e23-9d03-88c21f007c03 · outbound

This paper cites Visualization of pareto front approximations in evo- lutionary multiobjective optimization: A critical review and the prosection method.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Visualization of pareto front approximations in evo- lutionary multiobjective optimization: A critical review and the prosection method

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.633273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0cc5cf3-282a-4723-a20e-60d860120d00 · outbound

This paper cites ’torii’ breaks new ground for iot malware.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks ’torii’ breaks new ground for iot malware

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.618232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8f4d10e-d92a-4693-974f-9198c2ca7e55 · outbound

This paper cites An evolutionary study of iot malware.IEEE Internet of Things Journal, 8(20):15422– 15440, 2021.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks An evolutionary study of iot malware.IEEE Internet of Things Journal, 8(20):15422– 15440, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.605633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3106957-77c0-4f33-81f9-030ae9f3deb5 · outbound

This paper cites Internet of things in industries: A survey.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Internet of things in industries: A survey

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.591176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63ee2f39-a7be-47f6-a269-333b74307314 · outbound

This paper cites Uncov- ering energy-efficient practices in deep learning training: Preliminary steps towards green ai.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Uncov- ering energy-efficient practices in deep learning training: Preliminary steps towards green ai

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.577212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7dff8fc-c230-4f35-b222-13cf3d05117e · outbound

This paper cites Yokoyama, Mariza Ferro, and Bruno Schulze.

Are Trees Really Green? A Detection Approach of IoT Malware Attacks Yokoyama, Mariza Ferro, and Bruno Schulze

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:13.562533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.