Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

The proposed framework significantly reduces labeling efforts and improves threat detection, enhancing AVP system security.

Authors

Stephanie Ness (ORCID: https://orcid.org/0009-0004-9654-5722)

Institutions

Diplomatic Academy of Vienna (AT)

Publication Details

Journal: Frontiers in Big Data
Published: 2025-11-19
DOI: https://doi.org/10.3389/fdata.2025.1617978
Primary Topic: Vehicular Ad Hoc Networks (VANETs)
Type: article
Field-Weighted Citation Impact: 0.00

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article

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

Stephanie Ness

Nov 19, 2025

Frontiers in Big Data

Vehicular Ad Hoc Networks (VANETs)

article

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

Stephanie Ness

November 19, 2025article en

Abstract

The proposed framework significantly reduces labeling efforts and improves threat detection, enhancing AVP system security.

Frontiers in Big DataVol. 8

Diplomatic Academy of Vienna (AT)

Openalex Percentile: Top 65%

Vehicular Ad Hoc Networks (VANETs)

DOI Open Access PDF OpenAlex

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Robust detection framework for adversarial threats in Autonomous Vehicle Platooning — Stephanie Ness · Frontiers in Big Data (2025) | TGRS Research Map | TGRS