Cybersecurity of Sensors on Smart Vehicles: Review of Threats and Solutions

Prasetyo Adi Wibowo Putro, Fetty Amelia, Jan Pidanic, Heru Suhartanto, Imam Arif Rahardjo, Ejo Imandeka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2023 6th International Conference on Computer and Informatics Engineering
Subtitle of host publicationAI Trust, Risk and Security Management (AI Trism), IC2IE 2023
EditorsIndra Hermawan, Asep Kurniawan, Maria Agustin, Ayu Rosyida Zain, Wawan Gunawan, Saruni Dwiasnati, Sinantya Feranti Anindya, Ratna Widya Iswara
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages266-270
Number of pages5
ISBN (Electronic)9798350345162
DOIs
Publication statusPublished - 2023
Event6th International Conference on Computer and Informatics Engineering, IC2IE 2023 - Hybrid, Lombok, Indonesia
Duration: 14 Sept 202315 Sept 2023

Publication series

NameProceedings - 2023 6th International Conference on Computer and Informatics Engineering: AI Trust, Risk and Security Management (AI Trism), IC2IE 2023

Conference

Conference6th International Conference on Computer and Informatics Engineering, IC2IE 2023
Country/TerritoryIndonesia
CityHybrid, Lombok
Period14/09/2315/09/23

Keywords

  • cybersecurity
  • Kitchenham
  • sensor
  • SLR
  • smart vehicles
  • solution
  • threat

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