Classifying Network Flows through a Multi-Modal 1D CNN Approach Using Unified Traffic Representations

In recent years, the analysis of encrypted network traffic has gained momentum due to the widespread use of Transport Layer Security and Quick UDP Internet Connections protocols, which complicate and prolong the analysis proc... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Systems Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.32604/csse.2025.061285
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Classifying Network Flows through a Multi-Modal 1D CNN Approach Using Unified Traffic Representations

Rakesh Veerabhadrappa, Poornima Athikatte Sampigerayappa
Computer Systems Science and Engineering
Network Security and Intrusion Detection
article

Classifying Network Flows through a Multi-Modal 1D CNN Approach Using Unified Traffic Representations

Rakesh Veerabhadrappa, Poornima Athikatte Sampigerayappa
article en

Abstract

In recent years, the analysis of encrypted network traffic has gained momentum due to the widespread use of Transport Layer Security and Quick UDP Internet Connections protocols, which complicate and prolong the analysis proc... | Find, read and cite all the research you need on Tech Science Press

Computer Systems Science and EngineeringVol. 49(1)
Openalex Percentile: Top 95%
Network Security and Intrusion Detection
DOIOpen Access PDFOpenAlex
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Classifying Network Flows through a Multi-Modal 1D CNN Approach Using Unified Traffic Representations — Rakesh Veerabhadrappa, Poornima Athikatte Sampigerayappa · Computer Systems Science and Engineering (2025) | TGRS Research Map | TGRS