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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11009200/ |
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