STAMP SS: Safety Security Scenario for Specification and Standard in the society of AI/IoT

Tomoko Kaneko, Nobukazu Yoshioka, Ryoichi Sasaki

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

2 Citations (Scopus)

Abstract

Systems, including AI/IoT, have complex relationships. It is necessary to analyze risks from various perspectives to build a system that can be used safely and securely throughout society, including people and organizations. In order to model a complex system hierarchically, we propose to model the control structure diagram of STAMP into five layers according to the life cycle of software and system requirements. Based on the STAMP S S five-layer model, the necessity of performing safety and security analysis in each layer and performing scenario analysis to generate specifications and standards ensuring safety and security is presented.

Original languageEnglish
Title of host publicationProceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages168-175
Number of pages8
ISBN (Electronic)9781728189154
DOIs
Publication statusPublished - 2020 Dec
Externally publishedYes
Event20th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2020 - Macau, China
Duration: 2020 Dec 112020 Dec 14

Publication series

NameProceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020

Conference

Conference20th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2020
Country/TerritoryChina
CityMacau
Period20/12/1120/12/14

Keywords

  • STAMP
  • Safety
  • Scenario
  • Security
  • Specification
  • Standard

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'STAMP SS: Safety Security Scenario for Specification and Standard in the society of AI/IoT'. Together they form a unique fingerprint.

Cite this