@inproceedings{3a8fa717655c4ffd9a2f5743b252bf00,
title = "Cybersecurity of Sensors on Smart Vehicles: Review of Threats and Solutions",
abstract = "The use of sensors in smart vehicles brings benefits and vulnerabilities. Different kinds of sensors in smart vehicles are vulnerable to cyber-attack. Until now, the investigation of challenges and solutions for in-vehicle cybersecurity hasn't discussed various sensor objects and their correlation. In this study, we studied the cyber security problems of sensors in smart vehicles and how to overcome them. The research was designed as Systematic Literature Review (SLR) using the Kitchenham methodology with modification in the filtering phase using the artificial intelligence application, Elicit, to identify the problems, conclusions, and methodology description. Seventeen publications from 2016 until 2023 were gained from five databases. As a result, we find that the most discussed object related to cybersecurity sensors on smart vehicles are Electronic Control Units. Spoofing and jamming is still the most addressed threat, and machine learning is the most utilized solution to be implemented in detection systems. Advanced detection systems are incorporating updated attack models. We also suggest using updated attack models and machine learning algorithms to ensure the safety and security of smart vehicle technology. All identified sensor technology correlated using mind maps under the Intelligent Transport System theory.",
keywords = "cybersecurity, Kitchenham, sensor, SLR, smart vehicles, solution, threat",
author = "Putro, {Prasetyo Adi Wibowo} and Fetty Amelia and Jan Pidanic and Heru Suhartanto and Rahardjo, {Imam Arif} and Ejo Imandeka",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Computer and Informatics Engineering, IC2IE 2023 ; Conference date: 14-09-2023 Through 15-09-2023",
year = "2023",
doi = "10.1109/IC2IE60547.2023.10331330",
language = "English",
series = "Proceedings - 2023 6th International Conference on Computer and Informatics Engineering: AI Trust, Risk and Security Management (AI Trism), IC2IE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "266--270",
editor = "Indra Hermawan and Asep Kurniawan and Maria Agustin and {Rosyida Zain}, Ayu and Wawan Gunawan and Saruni Dwiasnati and Anindya, {Sinantya Feranti} and Iswara, {Ratna Widya}",
booktitle = "Proceedings - 2023 6th International Conference on Computer and Informatics Engineering",
address = "United States",
}