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A Framework for Cybersecurity Requirements Management in the Automotive Domain.

Feng Luo1, Yifan Jiang1, Jiajia Wang1

  • 1School of Automotive Studies, Tongji University, Shanghai 201804, China.

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|July 11, 2023
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Summary

A new cybersecurity requirements management system (CRMS) framework aids automotive engineers in automated threat analysis and requirement matching for intelligent connected vehicles. This system improves threat detection and security requirement coverage, saving time and costs for complex vehicle systems.

Keywords:
formal methodssecurity requirements engineeringsecurity specificationthreat analysis and risk assessment

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Area of Science:

  • Cybersecurity Engineering
  • Automotive Systems
  • Software Development

Background:

  • Intelligent connected vehicles present complex cybersecurity challenges due to increased attack surfaces and rapid development cycles.
  • Existing methods struggle to accurately identify threats and match security requirements for new automotive features quickly.
  • Original Equipment Manufacturers (OEMs) require efficient tools for threat analysis and security requirement definition.

Purpose of the Study:

  • To propose a Cybersecurity Requirements Management System (CRMS) framework for automated threat analysis and risk assessment in automotive systems.
  • To enable development engineers to identify security requirements early in the software development lifecycle.
  • To facilitate accurate and rapid matching of threats and security requirements for new vehicle features.

Main Methods:

  • Development engineers model systems using the UML-based Eclipse Modeling Framework.
  • Security experts integrate expertise into threat and security requirement libraries using Alloy formal language.
  • The Component Channel Messaging and Interface (CCMI) framework facilitates matching between development and security models for automated analysis.

Main Results:

  • The proposed CRMS framework demonstrated superior threat detection and security requirement coverage rates compared to the HEAVENS approach.
  • The framework significantly reduces analysis time, especially for large and complex automotive systems.
  • Cost savings increase with the complexity of the vehicle systems analyzed.

Conclusions:

  • The CRMS framework provides an effective solution for managing cybersecurity requirements in the rapidly evolving automotive domain.
  • Automated threat and risk identification, coupled with efficient security requirement matching, is achievable.
  • The proposed system enhances cybersecurity posture and reduces development costs for intelligent connected vehicles.