Model Based Resilience Engineering for Design and Assessment of Mission Critical Systems Containing Artificial Intelligence Components

Douglas Van Bossuyt (Corresponding author), Nikolaos Papakonstantinou, Britta Hale, Jarno Salonen, Bryan M. O'Halloran

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

Critical system resilience is a focus point in risk management due to the severe consequences of system failure. As such critical systems become increasingly cyber-physical, cybersecurity vulnerabilities also play a more significant role in system analysis. Now, as the world turns to Artificial Intelligence (AI)-based solutions, the novel vulnerabilities in AI and other black box components add a complexity dimension to the assessment of cyber-physical critical system analysis. This chapter provides a closer look at a Model Based Systems Engineering (MBSE) approach to assess and design the resilience of complex systems throughout their life cycle. As a case study of a system of systems comprised of Unmanned Aerial Systems (UASs) and Unmanned Surface Vessels (USVs) for littoral zone patrol is presented with a focus on system resilience under a national security mission.
Original languageEnglish
Title of host publicationArtificial Intelligence and Cybersecurity
Subtitle of host publicationTheory and Applications
EditorsTuomo Sipola, Tero Kokkonen, Mika Karjalainen
PublisherSpringer
Pages47-66
ISBN (Electronic)978-3-031-15030-2
ISBN (Print)978-3-031-15029-6, 978-3-031-15032-6
DOIs
Publication statusPublished - 1 Aug 2022
MoE publication typeA3 Part of a book or another research book

Keywords

  • Artificial Intelligence
  • Privacy
  • Cryptology
  • Mobile and Network Security

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