Automotive Security Analyzer for Exploitability Risks An Automated and Attack Graph-Based Evaluation of On-Board Networks

Our lives depend on automotive cybersecurity, protecting us inside and near vehicles. If vehicles go rogue, they can operate against the driver’s will and potentially drive off a cliff or into a crowd. The “Automotive Security Analyzer for Exploitability Risks” (AutoSAlfER) evaluates the exploitabil...

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Bibliographic Details
Main Author: Salfer, Martin
Format: eBook
Language:English
Published: Wiesbaden Springer Fachmedien Wiesbaden 2024, 2024
Edition:1st ed. 2024
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Basics and Related Work
  • Models
  • Single-Path Attack Graph Algorithm
  • Multi-Path Attack Graph Algorithm
  • Conclusion
  • References