Towards Integrated Quantitative Security and Safety Risk Assessment

Jürgen Dobaj*, Christoph Schmittner, Michael Krisper, Georg Macher

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Although multiple approaches for the combination of safety and security analysis exist, there are still some major gaps to overcome before they can be used for combined risk management. This paper presents the existing gaps, based on an overview of available methods, which is followed by the proposal towards a solution to achieve coordinated risk management by applying a quantitative security risk assessment methodology. This methodology extends established safety and security risk analysis methods with an integrated model, denoting the relationship between adversary and victim, including the used capabilities and infrastructure. This model is used to estimate the resistance strength and threat capabilities, to determine attack probabilities and security risks.

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11699 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz7th International Workshop on Assurance Cases for Software-Intensive Systems, ASSURE 2019, 14th ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2019, 8th International Workshop on Next Generation of System Assurance Approaches for Safety-Critical Systems, SASSUR 2019, 2nd International Workshop on Safety, Security, and Privacy In Automotive Systems, STRIVE 2019, 2nd International Workshop on Artificial Intelligence Safety Engineering, WAISE 2019 held in conjunction with 38th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2019
LandFinnland
OrtTurku
Zeitraum10/09/1913/09/19

ASJC Scopus subject areas

  • !!Theoretical Computer Science
  • !!Computer Science(all)

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