CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning

CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning

Connected and automated vehicles (CAVs) are getting a lot of attention these days as their technology becomes more mature and they benefit from the Internet-of-Vehicles (IoV) ecosystem. CAVs attract malicious activities that jeopardize security and safety dimensions. The cybersecurity systems of CAV...

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Bibliographic Details
Main Authors: George E. Raptis, Christina Katsini, Christos Alexakos, Athanasios Kalogeras, Dimitrios Serpanos
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
connected and autonomous vehicles
internet of vehicles
cyber threat intelligence reports
cybersecurity
machine learning
cluster analysis
Online Access:https://www.mdpi.com/2076-3417/12/22/11631

Internet

https://www.mdpi.com/2076-3417/12/22/11631

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