A Model for Abnormal Detection of In-Vehicle CAN Messages Based on Hyperparameter Optimized CNN

Effectively identifying and defending against cyberattacks through intelligent means has become an important research direction for ensuring the safety of intelligent connected vehicles. The paper constructs a novel intrusion detection system framework using CNN, knowledge transfer and model ensembl

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354634
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

A Model for Abnormal Detection of In-Vehicle CAN Messages Based on Hyperparameter Optimized CNN

Xiaoyu Zhou
Vehicular Ad Hoc Networks (VANETs)
article

A Model for Abnormal Detection of In-Vehicle CAN Messages Based on Hyperparameter Optimized CNN

Xiaoyu Zhou
article en

Abstract

Effectively identifying and defending against cyberattacks through intelligent means has become an important research direction for ensuring the safety of intelligent connected vehicles. The paper constructs a novel intrusion detection system framework using CNN, knowledge transfer and model ensembl

Wuchang University of Technology (CN), Hubei University (CN)
Openalex Percentile: Top 96%
Vehicular Ad Hoc Networks (VANETs)
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A Model for Abnormal Detection of In-Vehicle CAN Messages Based on Hyperparameter Optimized CNN — Xiaoyu Zhou · (2025) | TGRS Research Map | TGRS