CC-CASE: SAFETY & SECURITY ENGINEERING METHODOLOGY FOR AI/IOT

Tomoko Kaneko*, Nobukazu Yoshioka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In this chapter, we will show a new development methodology that can assure the needs of complex systems including IoT and AI by using safety and security technologies in an integrated manner. Specifically, we are considering the integrated use of the following technologies suitable for analysis, implementation, and evaluation of complex systems: New system thinking safety technology such as STAMP/STPA FRAM, a resilience engineering method Expand security functions defined in IT Security Standard Common Criteria (CC) SARM that makes it possible to identify comprehensive requirements Advanced patented technology such as Scenario Function Verification and validation by guarantee cases such as GSN System thinking accident analysis method CAST We aim to develop a safe and secure development methodology for complex systems in the AI/IoT era.

Original languageEnglish
Title of host publicationA Closer Look at Safety and Security
PublisherNova Science Publishers, Inc.
Pages1-79
Number of pages79
ISBN (Electronic)9781536182064
Publication statusPublished - 2020 Jan 1
Externally publishedYes

Keywords

  • AI
  • Assurance case
  • CAST
  • Common criteria (CC)
  • FRAM
  • GSN
  • IoT
  • Resilience engineering
  • Scenario function
  • STAMP
  • STPA
  • System theory

ASJC Scopus subject areas

  • Social Sciences(all)
  • Medicine(all)

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