AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey

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چکیده

The Controller Area Network (CAN) is the most widely used in-vehicle communication protocol, which still lacks implementation of suitable security mechanisms such as message authentication and encryption. This makes CAN bus vulnerable to numerous cyber attacks. Various Intrusion Detection Systems (IDSs) have been developed detect these However, high generalization capabilities Artificial Intelligence (AI) make AI-based IDS an excellent countermeasure against automotive article surveys from 2016 2022 (August) with a novel taxonomy. It reviews detection techniques, attack types, features, benchmark datasets. Furthermore, discusses AI models, necessary steps develop IDSs in bus, identifies limitations existing proposals, gives recommendations for future research directions.

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ژورنال

عنوان ژورنال: ACM Computing Surveys

سال: 2023

ISSN: ['0360-0300', '1557-7341']

DOI: https://doi.org/10.1145/3570954