Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML

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Abstract

The integration of intelligent functionalities in connected and autonomous automotive system has great potential to deliver personalised user experience and improve traffic management. It can benefit the society by improving highway capacity and safety of road users. The adoption of data-driven Artificial Intelligence and Machine Learning models in the automotive sector is opening venues to new services and business models such as autonomous fleet management, self-driving trucks, robotaxi etc. However, where the sharing of mix-critical data brings opportunities, it simultaneously presents serious cybersecurity and functional safety risks. In recent years, the cyber attacks have
impacted every segment of automotive system including electronic control unit, infotainment, communications, firmware, mobile apps etc. This adoption of AI and ML as enabling technology for next-generation autonomous transportation systems is going to significantly widen the automotive attack surface. This trend
has increasing tendency of exposing both vehicle and road-side infrastructure to a wide range of sophisticated cyber attacks. This paper aims to review and build a body of knowledge on the topic of automotive cybersecurity, by bridging a domain-specific knowledge gap among automotive system designers, engineers
and system security architects. For this purpose, it discuss the autonomous driving system data processing pipeline and threat analysis and risk assessment process of automotive cybersecurity standard ISO/SAE 21434 to harness and harden automotive cybersecurity. It highlights automotive system architectural and ecosystem challenges in adopting AI and ML driven decision making.
Original languageEnglish
Title of host publication2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021)
EditorsNabil Abdennadher, Elhadj Benkhelifa, Jaime Mauri Lloret, Yaser Jararweh
Publisher IEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781665458702
ISBN (Print)978-1-6654-5871-9
DOIs
Publication statusPublished - 16 Mar 2022
Event6th International Conference on Fog and Mobile Edge Computing, FMEC 2021 - Virtual, Gandia, Spain
Duration: 06 Dec 202109 Dec 2021

Publication series

Name2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021

Conference

Conference6th International Conference on Fog and Mobile Edge Computing, FMEC 2021
Country/TerritorySpain
CityVirtual, Gandia
Period06/12/202109/12/2021

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This research work was funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 957210 (XANDAR).

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Autonomous Systems
  • AUTOSAR Adaptive
  • AUTOSAR Classic
  • Cybersecurity Engineering
  • Functional Safety
  • ISO/SAE 21433
  • Threat Analysis and Risk Assessment (TARA)

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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