Accelerate training of AI-powered attack traffic detection: dataset compression based on centroids of point clouds in traffic feature spaces

Authors

Chuanpu Fu (ORCID: https://orcid.org/0000-0003-4568-6125)
Q. Li (ORCID: https://orcid.org/0000-0002-8290-0517)
Ke Xu (ORCID: https://orcid.org/0000-0002-6241-8352)

Publication Details

Journal: Scientia Sinica Informationis
Published: 2025-05-15
DOI: https://doi.org/10.1360/ssi-2025-0025
Primary Topic: Traffic Prediction and Management Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Accelerate training of AI-powered attack traffic detection: dataset compression based on centroids of point clouds in traffic feature spaces

Chuanpu Fu, Q. Li, Ke Xu

May 15, 2025

Scientia Sinica Informationis

Traffic Prediction and Management Techniques

article

Accelerate training of AI-powered attack traffic detection: dataset compression based on centroids of point clouds in traffic feature spaces

Chuanpu Fu, Q. Li, Ke Xu

May 15, 2025article en

Abstract

No abstract available for this paper.

Scientia Sinica InformationisVol. 55(8)

Openalex Percentile: Top 90%

Traffic Prediction and Management Techniques

DOI Open Access PDF OpenAlex

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Accelerate training of AI-powered attack traffic detection: dataset compression based on centroids of point clouds in traffic feature spaces — Chuanpu Fu, Q. Li, et al. · Scientia Sinica Informationis (2025) | TGRS Research Map | TGRS