Leverage Sampling Methods and Deep Neural Networks for Fuzzer CAN Bus Message Detection

Leverage Sampling Methods and Deep Neural Networks for Fuzzer CAN Bus Message Detection

The Controller Area Network (CAN) is crucial for automotive safety, yet remains vulnerable to various fuzzing attacks that can compromise vehicle operations. This paper presents a comprehensive detection framework that identifies both common CAN vulnerabilities (DoS, Spoofing, Replay, and general Fu...

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Bibliographic Details
Main Authors: Thi-Thu-Huong Le, Yeonjeong Hwang, Junyoung Son, Howon Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Anomaly detection
automotive vulnerability
controller area network
deep neural networks
fuzzy attack
sampling data
Online Access:https://ieeexplore.ieee.org/document/11009200/
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https://ieeexplore.ieee.org/document/11009200/

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