Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:13.532669Z
Paper Citation Record · LEDGER
Are Trees Really Green? A Detection Approach of IoT Malware Attacks
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.