Paper Citation Record · LEDGER

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2502.00975.

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

pith.paper-citation-record.v1
2502.00975 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:05:32.172832Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

32 of 32 outbound references displayed

verified exact16
verified fuzzy8
unresolved6
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 390eafe0-3c5a-4419-aa32-6b71cffa37f5 · outbound

This paper cites Constructing detection knowledge for DDoS intrusion tolerance,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Constructing detection knowledge for DDoS intrusion tolerance,

Reference 1

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.387784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3291c083-8ae1-4f51-b027-1834613b0cde · outbound

This paper cites Worldwide infrastructure security report,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Worldwide infrastructure security report,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.091131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9fdd34be-7edb-4845-80ef-177064b3137b · outbound

This paper cites The dark menace: Characterizing network-based attacks in the cloud,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms The dark menace: Characterizing network-based attacks in the cloud,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.075977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 272e204c-f82b-4ba6-9553-4f75d313d9a1 · outbound

This paper cites On networking of In- ternet of Things: Explorations and challenges,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms On networking of In- ternet of Things: Explorations and challenges,

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.793747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cb64e63-341d-4432-8f1b-87b520af291d · outbound

This paper cites Risks of automation: A cautionary total-system per- spective of our cyber future,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Risks of automation: A cautionary total-system per- spective of our cyber future,

Reference 5

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.373127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e6a6074-6b36-4f4a-bb9b-3ad8d752984f · outbound

This paper cites Knowledge aware proactive nodes selection approach for en- ergy management in Internet of Things,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Knowledge aware proactive nodes selection approach for en- ergy management in Internet of Things,

Reference 6

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.356963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a395320-fa95-4792-849a-beb2e8b7780c · outbound

This paper cites Context- aware collect data with energy efficient in cyber physical cloud sys- tems,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Context- aware collect data with energy efficient in cyber physical cloud sys- tems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.062509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 147b066d-9063-48d5-94d9-f0e052dc1bb7 · outbound

This paper cites DDoS detec- tion and analysis in SDN-based environment using support vec- tor machine classifier,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms DDoS detec- tion and analysis in SDN-based environment using support vec- tor machine classifier,

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.613962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15dd2340-cfc8-44f4-aac0-60dc27d67528 · outbound

This paper cites A feasible method to combat against DDoS attack in SDN network,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms A feasible method to combat against DDoS attack in SDN network,

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.432875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1f857bb-0aa6-48fa-a40a-fa40b0039b99 · outbound

This paper cites SDN-based architecture for IoT and improvement of the security,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms SDN-based architecture for IoT and improvement of the security,

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-09T17:05:32.084361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d27ca8a-3507-44d6-b472-96667e7514da · outbound

This paper cites Securing SDN infrastruc- ture of IoT–fog networks from MitM attacks,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Securing SDN infrastruc- ture of IoT–fog networks from MitM attacks,

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.272473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d904b391-a5ef-4e5f-a684-d5bd3ba5f1a6 · outbound

This paper cites DDoS attack mitigation in Inter- net of Things using software-defined networking,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms DDoS attack mitigation in Inter- net of Things using software-defined networking,

Reference 12

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.320456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0aa316e-2a0b-4673-91a6-d6df47079c97 · outbound

This paper cites Robust Support Vector Machines for Anomaly Detection in Computer Security,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Robust Support Vector Machines for Anomaly Detection in Computer Security,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.047024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 554acfe9-423b-4c7f-b6c7-d3d4187b6d92 · outbound

This paper cites DDoS resilient scheduling to counter application layer attacks un- der imperfect detection,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms DDoS resilient scheduling to counter application layer attacks un- der imperfect detection,

Reference 14

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.305061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2acc4de-4a02-428f-9873-9228a09b0b99 · outbound

This paper cites Available: http://www.mcafee.com/us/resources/reports/rp-quarterly-threat-q1- 2015.pdf, last visited 1/3/2025.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Available: http://www.mcafee.com/us/resources/reports/rp-quarterly-threat-q1- 2015.pdf, last visited 1/3/2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.032342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c43e39a8-479f-4b35-90ed-13feacab160e · outbound

This paper cites (2003, March).

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms (2003, March)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.017781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24003fbd-4906-4bd3-a2be-4924110fc4f2 · outbound

This paper cites A hybrid machine learning approach to network anomaly detection,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms A hybrid machine learning approach to network anomaly detection,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:32.115514Z

Source-reported events for the cited work

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Observation 93a62170-e346-4a86-8b8b-91be69e545e0 · outbound

This paper cites Naive Bayes vs Decision Trees in Intrusion Detection Systems,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Naive Bayes vs Decision Trees in Intrusion Detection Systems,

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.055230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6c57174-9818-4d90-a1e5-6d8a3dc3938f · outbound

This paper cites The period-index problem for elliptic curves and the essential dimension of Picard stacks.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms The period-index problem for elliptic curves and the essential dimension of Picard stacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:32.123819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cee74d-76e1-4e24-a2d8-0ff9b5115364 · outbound

This paper cites Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:32.128275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867adf84-6319-4008-9863-2ae8461b9566 · outbound

This paper cites Available: https://medium.com/app- affairs/9-applications-of-machine-learning-from-day-to-day-life- 112a47a429d0, last visited 1/3/2025.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Available: https://medium.com/app- affairs/9-applications-of-machine-learning-from-day-to-day-life- 112a47a429d0, last visited 1/3/2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:34.003154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68fa65d0-bf25-4f1f-b0a6-566c04b3dd8a · outbound

This paper cites Machine learning algorithms: A review,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Machine learning algorithms: A review,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:32.136702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8716094c-4891-44ea-ad6c-d71bc3222f7d · outbound

This paper cites Available: https://machinelearningmastery.com/logistic- regression-for-machine-learning/, last visited 1/3/2025.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Available: https://machinelearningmastery.com/logistic- regression-for-machine-learning/, last visited 1/3/2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:33.988160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa734606-c5fc-4965-9deb-b8745544b515 · outbound

This paper cites SVM based scheme for predicting number of zombies in a DDoS attack,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms SVM based scheme for predicting number of zombies in a DDoS attack,

Reference 24

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.270047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0958ae88-ee31-4c66-8e46-eb775a3ed202 · outbound

This paper cites Detecting DDoS attacks using machine learning techniques and contemporary intrusion detection dataset,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Detecting DDoS attacks using machine learning techniques and contemporary intrusion detection dataset,

Reference 25

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.255033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f7ce1f1-26e8-4bef-a6a7-9e65bf9e3fa7 · outbound

This paper cites Improving classification accuracy based on random forest model with uncorrelated high perform- ing trees,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Improving classification accuracy based on random forest model with uncorrelated high perform- ing trees,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ee5f4e-e7e5-4655-bb64-54606042a738 · outbound

This paper cites The performance of random forests in an operational setting for large area sclerophyll forest classification,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms The performance of random forests in an operational setting for large area sclerophyll forest classification,

Reference 27

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.226757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e95cd3a5-ecef-44df-85ee-652b922c9754 · outbound

This paper cites Evalua- tion of machine learning algorithms for intrusion detection sys- tem,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Evalua- tion of machine learning algorithms for intrusion detection sys- tem,

Reference 28

Resolution: malformed identifier; arxiv_id_nonexistent, observed 2026-08-09T17:05:32.833884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d32f44a7-6228-4f09-bf69-b895a1e604fe · outbound

This paper cites HTTP flood attack detection in application layer using machine learning metrics and bio-inspired bat algorithm,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms HTTP flood attack detection in application layer using machine learning metrics and bio-inspired bat algorithm,

Reference 29

Resolution: verified exact; doi, observed 2026-08-09T17:05:32.210969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1304345-06a0-40ec-a40b-e2bebd23fdb5 · outbound

This paper cites An investigation on intrusion detection system using machine learning,.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms An investigation on intrusion detection system using machine learning,

Reference 30

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:32.588032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aaac11c2-7930-43fa-9e7a-68c4c90ceb9d · outbound

This paper cites an unresolved cited work.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Unresolved cited work

Reference 2015

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:05:33.969963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9a20e2a-3148-46c7-be79-110aa340747d · outbound

This paper cites an unresolved cited work.

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms Unresolved cited work

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:32.070047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.