Challenges and Mitigation of Cyber Threat in Automated Vehicle: An Integrated Approach

Abdullah Al Mamun, Md Abdullah Al Mamun, Abdullatif Shikfa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The technological development of automated vehicles opens novel cybersecurity threats and risks for road safety. Increased connectivity often results in increased risks of a cyber-security attacks, which is one of the biggest challenges for the automotive industry that undergoes a profound transformation. State of the art studies evaluated potential attacks and recommended possible measures, from technical and organizational perspective to face these challenges. In this position paper, we review these techniques and methods and show that some of the different solutions complement each other while others overlap or are even incompatible or contradictory. Based on this gap analysis, we advocate for the need of a comprehensive framework that integrates technical and organizational mitigation measures to enhance the cybersecurity of automotive vehicles.

Original languageEnglish
Title of host publication2018 International Conference of Electrical and Electronic Technologies for Automotive, AUTOMOTIVE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788887237382
DOIs
Publication statusPublished - Oct 15 2018
Externally publishedYes
Event2018 International Conference of Electrical and Electronic Technologies for Automotive, AUTOMOTIVE 2018 - Milan, Italy
Duration: Jul 9 2018Jul 11 2018

Publication series

Name2018 International Conference of Electrical and Electronic Technologies for Automotive, AUTOMOTIVE 2018

Conference

Conference2018 International Conference of Electrical and Electronic Technologies for Automotive, AUTOMOTIVE 2018
Country/TerritoryItaly
CityMilan
Period7/9/187/11/18

Keywords

  • Autonomous vehicles
  • Cyber threats
  • Organizational Mitigation
  • Technical mitigation

ASJC Scopus subject areas

  • Control and Optimization
  • Automotive Engineering
  • Electrical and Electronic Engineering

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