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Paper Citation Record · LEDGER

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.05584.

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pith.paper-citation-record.v1
2606.05584 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:23:03.182749Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 1c1027b0-29e5-480d-a609-071f3d9b7548 · outbound

This paper cites Features dimensionality reduction approaches for ma- chine learning based network intrusion detection,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Features dimensionality reduction approaches for ma- chine learning based network intrusion detection,

Reference 1

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Observation 69c787eb-8441-4f68-be58-433f7de0ec5f · outbound

This paper cites Machine learning in iot security: Current solutions and future challenges,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Machine learning in iot security: Current solutions and future challenges,

Reference 2

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Observation 4ee8798e-f379-409e-aff0-def5581309b3 · outbound

This paper cites Cyber-attack detection using principal component analysis and noisy clustering algorithms: A collaborative machine learning-based framework,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Cyber-attack detection using principal component analysis and noisy clustering algorithms: A collaborative machine learning-based framework,

Reference 3

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Observation 8a3f39f2-376f-4720-8eb0-c08ce2c0b644 · outbound

This paper cites Compact representation of high- dimensional feature vectors for large-scale image recognition and re- trieval,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Compact representation of high- dimensional feature vectors for large-scale image recognition and re- trieval,

Reference 4

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Observation 6e3c14b8-fc3a-436c-9d35-5392051f0aa3 · outbound

This paper cites A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision,

Reference 5

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Observation a4ba577b-859a-470c-82be-b8ae6e7f8a95 · outbound

This paper cites Literature review on feature selection methods for high-dimensional data,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Literature review on feature selection methods for high-dimensional data,

Reference 6

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Observation f16fe3aa-d702-4431-9c20-18735fdeb66f · outbound

This paper cites High dimensional data classification and feature selection using support vector machines,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding High dimensional data classification and feature selection using support vector machines,

Reference 7

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source=pdf_text observed=2026-06-28T01:23:03.182749Z digest=sha256:cd0431222b56f158800699fa791727a2ba47dba108fe189af39aeeca54068706

Observation faed7a07-6101-4041-a813-3cdf63e902e9 · outbound

This paper cites Cybersecurity and fre- quent cyber attacks on iot devices in healthcare: Issues and solutions,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Cybersecurity and fre- quent cyber attacks on iot devices in healthcare: Issues and solutions,

Reference 8

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Observation 54ace748-12ed-48bb-8669-37757c750946 · outbound

This paper cites A comprehensive study on cybersecurity challenges and opportunities in the iot world,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding A comprehensive study on cybersecurity challenges and opportunities in the iot world,

Reference 9

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Observation 012b8de8-e408-427d-bc6a-18a7991eab92 · outbound

This paper cites CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models

Reference 10

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arxiv_id, observed 2026-07-02T13:16:59.020903Z

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Observation b1d15e21-6673-4b25-a194-826659d6074e · outbound

This paper cites Reinforcement learning for iot security: A comprehensive survey,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Reinforcement learning for iot security: A comprehensive survey,

Reference 11

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Observation 6eb4534f-59dd-4ae4-a0d1-a67ace5e40b5 · outbound

This paper cites A review on the security vulnerabilities of the iomt against malware attacks and ddos,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding A review on the security vulnerabilities of the iomt against malware attacks and ddos,

Reference 12

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source=pdf_text observed=2026-06-28T01:23:03.182749Z digest=sha256:dccd8c9befa748ad348b34ea40df79034e4e81bc9366cf4bcbcfdefbc33c0ee1

Observation 4e50b0a1-8fdc-427f-88b7-0e63164aa472 · outbound

This paper cites Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices

Reference 13

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Observation 6efed857-c46f-4972-9109-11d98b2e268c · outbound

This paper cites A survey of machine and deep learning methods for internet of things (iot) security,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding A survey of machine and deep learning methods for internet of things (iot) security,

Reference 14

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Observation a5fab9eb-b592-4a2b-a8f4-ceaea0e5bd03 · outbound

This paper cites Cybersecurity technologies for the internet of medical wearable devices (IoMD),.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Cybersecurity technologies for the internet of medical wearable devices (IoMD),

Reference 15

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Observation 8f23eda9-2b5b-4205-8c57-b6155b733525 · outbound

This paper cites Iot botnet detection using an economic deep learning model,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Iot botnet detection using an economic deep learning model,

Reference 16

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Observation edb48492-bb49-44a2-8ba5-965a3625f46e · outbound

This paper cites Survey on multi-access edge computing security and privacy,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Survey on multi-access edge computing security and privacy,

Reference 17

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source=pdf_text observed=2026-06-28T01:23:03.182749Z digest=sha256:bac851b8d9ecc4f965038670b50187179bb3d12bdb281f5b2b61ba88ba55f074

Observation 909380b7-6db7-4841-9d2f-87730ada87aa · outbound

This paper cites Exploiting sparse self-representation and particle swarm optimization for cnn compression,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Exploiting sparse self-representation and particle swarm optimization for cnn compression,

Reference 18

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Observation 3f2d830e-0a94-46c4-914b-5aaaf4a00997 · outbound

This paper cites Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with ai and machine learning methods,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with ai and machine learning methods,

Reference 19

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Observation db05a378-efa5-44a4-888d-205e623c7155 · outbound

This paper cites Principal component analysis,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Principal component analysis,

Reference 20

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Observation 6ab0d8e0-83ff-4dd8-9890-24a5c67b5925 · outbound

This paper cites An overview of principal component analysis,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding An overview of principal component analysis,

Reference 21

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Observation 999621f8-9c12-4291-b581-f033a2d19a11 · outbound

This paper cites Principal component analysis,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Principal component analysis,

Reference 22

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Observation e8b697bd-0aaf-4306-b1d7-13ecfa089e9f · outbound

This paper cites A review of predictive coding algorithms,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding A review of predictive coding algorithms,

Reference 23

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Observation c63d0313-535a-4480-922b-e4d27c9d3ddc · outbound

This paper cites Pre-trained convolutional neural networks identify parkinson’s disease from spectrogram images of voice samples,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Pre-trained convolutional neural networks identify parkinson’s disease from spectrogram images of voice samples,

Reference 24

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Observation e86ce374-7ceb-43a2-8218-f38a3fbf2b62 · outbound

This paper cites Speech compression using linear predictive coding,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Speech compression using linear predictive coding,

Reference 25

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Observation 4cc79231-82ff-4d7f-a4c9-bcfd25a759e8 · outbound

This paper cites Audio signal classification using linear pre- dictive coding and random forests,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Audio signal classification using linear pre- dictive coding and random forests,

Reference 26

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Observation ddcbe9a5-e9ed-4055-80dc-d27f0a6f02fa · outbound

This paper cites Qrs feature extraction using linear prediction,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Qrs feature extraction using linear prediction,

Reference 27

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Observation b52ad3a1-294d-412f-be61-eeabea89cd7c · outbound

This paper cites Compres- sion of multidimensional biomedical signals with spatial and temporal codebook-excited linear prediction,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Compres- sion of multidimensional biomedical signals with spatial and temporal codebook-excited linear prediction,

Reference 28

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source=pdf_text observed=2026-06-28T01:23:03.182749Z digest=sha256:681d357186948820764503b9fdcf1cd0305fab651534815aac5459ad2cb20efa

Observation 33b2dbee-066f-4b93-b14e-a19404e055ac · outbound

This paper cites Toward gener- ating a new intrusion detection dataset and intrusion traffic characteri- zation,.

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Toward gener- ating a new intrusion detection dataset and intrusion traffic characteri- zation,

Reference 29

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Observation 0ad7b511-3445-4476-94da-4c09d8545390 · outbound

This paper cites Intrusion detection evalua- tion dataset (CIC-IDS2017).

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding Intrusion detection evalua- tion dataset (CIC-IDS2017)

Reference 30

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