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

Fahad Siddiqui; Rafiullah Khan; Sakir Sezer

doi:10.1109/FMEC54266.2021.9732568

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

Fahad Siddiqui, Rafiullah Khan, Sakir Sezer

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Downloads (Pure)

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 language	English
Title of host publication	2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021)
Editors	Nabil Abdennadher, Elhadj Benkhelifa, Jaime Mauri Lloret, Yaser Jararweh
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781665458702
ISBN (Print)	978-1-6654-5871-9
DOIs	https://doi.org/10.1109/FMEC54266.2021.9732568 https://doi.org/10.1109/FMEC54266.2021.9732568
Publication status	Published - 16 Mar 2022
Event	6th International Conference on Fog and Mobile Edge Computing, FMEC 2021 - Virtual, Gandia, Spain Duration: 06 Dec 2021 → 09 Dec 2021

Publication series

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

Conference

Conference	6th International Conference on Fog and Mobile Edge Computing, FMEC 2021
Country/Territory	Spain
City	Virtual, Gandia
Period	06/12/2021 → 09/12/2021

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/FMEC54266.2021.9732568Licence: Unspecified
10.1109/FMEC54266.2021.9732568

Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML
© 2021 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 4.32 MBLicence: Unspecified

Cite this

Siddiqui, F., Khan, R., & Sezer, S. (2022). Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML. In N. Abdennadher, E. Benkhelifa, J. M. Lloret, & Y. Jararweh (Eds.), 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021) (pp. 1-6). (2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021). IEEE . https://doi.org/10.1109/FMEC54266.2021.9732568, https://doi.org/10.1109/FMEC54266.2021.9732568

Siddiqui, Fahad ; Khan, Rafiullah ; Sezer, Sakir. / Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML. 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021). editor / Nabil Abdennadher ; Elhadj Benkhelifa ; Jaime Mauri Lloret ; Yaser Jararweh. IEEE , 2022. pp. 1-6 (2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021).

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Siddiqui, F , Khan, R & Sezer, S 2022, Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML. in N Abdennadher, E Benkhelifa, JM Lloret & Y Jararweh (eds), 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021). 2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021, IEEE , pp. 1-6, 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021, Virtual, Gandia, Spain, 06/12/2021. https://doi.org/10.1109/FMEC54266.2021.9732568, https://doi.org/10.1109/FMEC54266.2021.9732568

Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML. / Siddiqui, Fahad ; Khan, Rafiullah ; Sezer, Sakir.

2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021). ed. / Nabil Abdennadher; Elhadj Benkhelifa; Jaime Mauri Lloret; Yaser Jararweh. IEEE , 2022. p. 1-6 (2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Siddiqui F , Khan R , Sezer S. Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML. In Abdennadher N, Benkhelifa E, Lloret JM, Jararweh Y, editors, 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC 2021). IEEE . 2022. p. 1-6. (2021 6th International Conference on Fog and Mobile Edge Computing, FMEC 2021). https://doi.org/10.1109/FMEC54266.2021.9732568, https://doi.org/10.1109/FMEC54266.2021.9732568

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