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L-GraphSAGE: A Graph Neural Network-Based Approach for IoV Application Encrypted Traffic Identificat...

L-GraphSAGE: A Graph Neural Network-Based Approach for IoV Application Encrypted Traffic Identificat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3126022968

L-GraphSAGE: A Graph Neural Network-Based Approach for IoV Application Encrypted Traffic Identification

About this item

Full title

L-GraphSAGE: A Graph Neural Network-Based Approach for IoV Application Encrypted Traffic Identification

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2024-11, Vol.13 (21), p.4222

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Recently, with a crucial role in developing smart transportation systems, the Internet of Vehicles (IoV), with all kinds of in-vehicle devices, has undergone significant advancement for autonomous driving, in-vehicle infotainment, etc. With the development of these IoV devices, the complexity and volume of in-vehicle data flows within information c...

Alternative Titles

Full title

L-GraphSAGE: A Graph Neural Network-Based Approach for IoV Application Encrypted Traffic Identification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3126022968

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3126022968

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics13214222

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