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CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model
Due to the rising number of sophisticated customer functionalities, electronic control units (ECUs) are increasingly integrated into modern automotive systems.
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks
Hence, in this paper, we compare the performance of different unsupervised deep and machine learning based anomaly detection algorithms, for real-time detection of anomalies on the Audio Video Transport Protocol (AVTP), an application layer protocol implemented in the recent Automotive Ethernet based in-vehicle network.
SOME/IP Intrusion Detection using Deep Learning-based Sequential Models in Automotive Ethernet Networks
Intrusion Detection Systems are widely used to detect cyberattacks, especially on protocols vulnerable to hacking attacks such as SOME/IP.
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