Safety and Security Interference Analysis in the Design Stage

Jabier Martinez, Jean Godot, Alejandra Ruiz, Abel Balbis, Ricardo Ruiz Nolasco

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Safety and security engineering have been traditionally separated disciplines (e.g., different required knowledge and skills, terminology, standards and life-cycles) and operated in quasi-silos of knowledge and practices. However, the co-engineering of these two critical qualities of a system is being largely investigated as it promises the removal of redundant work and the detection of trade-offs in early stages of the product development life-cycle. In this work, we enrich an existing safety-security co-analysis method in the design stage providing capabilities for interference analysis. Reports on interference analyses are crucial to trigger co-engineering meetings leading to the trade-offs analyses and system refinements. We detail our automatic approach for this interference analysis, performed through fault trees generated from safety and security local analyses. We evaluate and discuss our approach from the perspective of two industrial case studies on the space and medical domains.

Publication series

Name0302-9743

Conference

Conference15th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2020, 1st International Workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical Systems, DepDevOps 2020, 1st International Workshop on Underpinnings for Safe Distributed AI, USDAI 2020, and 3rd International Workshop on Artificial Intelligence Safety Engineering, WAISE 2020, held in conjunction with the 39th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2020
Country/TerritoryPortugal
CityLisbon
Period15/09/2018/09/20

Keywords

  • Safety
  • Security
  • Co-engineering
  • Interference analysis
  • Fault tree analysis

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/737475/EU/Aggregated Quality Assurance for Systems/AQUAS
  • Funding Info
  • The research leading to this paper has received funding from the AQUAS project (H2020-ECSEL grant agreement 737475). The ECSEL Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme.

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