Cyberattack Detection in Vehicles using Characteristic Functions, Artificial Neural Networks, and Visual Analysis

Cyberattack Detection in Vehicles using Characteristic Functions, Artificial Neural Networks, and Visual Analysis

The connectivity of autonomous vehicles induces new attack surfaces and thus the demand for sophisticated cybersecurity management. Thus, it is important to ensure that in-vehicle network monitoring includes the ability to accurately detect intrusive behavior and analyze cyberattacks from vehicle da...

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Bibliographic Details
Main Authors: Yannick Chevalier, Florian Fenzl, Maxim Kolomeets, Roland Rieke, Andrey Chechulin, Christoph Kraus
Format: Article
Language:English
Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 2021-08-01
Series:Информатика и автоматизация
Subjects:
controller area network security
intrusion detection
anomaly detection
machine learning
automotive security
security monitoring
Online Access:http://ia.spcras.ru/index.php/sp/article/view/15028

Internet

http://ia.spcras.ru/index.php/sp/article/view/15028

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