TY - JOUR
T1 - A Zero Trust Hybrid Security and Safety Risk Analysis Method
AU - Papakonstantinou, Nikolaos
AU - Van Bossuyt, Douglas L.
AU - Linnosmaa, Joonas
AU - Hale, Britta
AU - O’Halloran, Bryan
N1 - Funding Information:
This research is partially supported by the VTT Technical Research Centre and the Naval Postgraduate School. Any opinions or findings of this work are the responsibility of the authors, and do not necessarily reflect the views of the sponsors or collaborators. The case study presented in this publication, while inspired by real systems, is intentionally fictional and idealized in nature.
Publisher Copyright:
Copyright © 2021 by ASME.
PY - 2021/10
Y1 - 2021/10
N2 - Designing complex, socio-technical, cyber-physical systems has become increasingly challenging in recent years. Interdependencies between engineering domains can lead to emergent behavior that is difficult to predict and manage. The recent shift toward model-based design has demonstrated significant advantages for minimizing these challenges (McDermott et al. 2020. Benchmarking the benefits and current maturity of model-based systems engineering across the enterprise. results of the model-based systems engineering (MBSE) maturity survey, part 1: Executive summary. Technical Report SERC-2020-SR-001, Systems Engineering Research Center.). Further, the early identification of safety and security design weaknesses in safety-critical systems leads to reduced redesign costs in later design phases (Yang and EI-Haik, 2003. Design for Six Sigma. McGraw-Hill, New York City; Clausing and Frey, 2005. Improving system reliability by failure-mode avoidance including four concept design strategies. Systems Engineering, 8(3), pp. 245–261.). As a result, this article contributes the Multidisciplinary Early Design Risk Assessment Framework (MEDRAF) methodology for early combined safety and security assessment based on interdisciplinary dependency models of a system. The focus is on factors contributing to the estimation of the probabilities of successful attacks on system components. The Zero Trust paradigm is applied in which all humans, hardware, and processes interacting with the system are considered to pose a security risk. A calculation of security-related probability estimates is presented which is dependent on the current global security environment. Subsequently, security and safety probability estimates are combined to present an overall safety-security risk calculation using hybrid safety-security trees. The risk values help designers assess the loss of specific key components and safety functions. The methodology is demonstrated with a case study of a spent fuel pool cooling system in a nuclear reactor. The results of the case study show that the risk of losing one key system component doubles when combining security and safety compared to only assessing safety events. This paper is based on a paper presented at the CIE 2020 conference (Papakonstantinou et al., 2020. Towards a zero trust hybrid security and safety risk analysis method. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.).
AB - Designing complex, socio-technical, cyber-physical systems has become increasingly challenging in recent years. Interdependencies between engineering domains can lead to emergent behavior that is difficult to predict and manage. The recent shift toward model-based design has demonstrated significant advantages for minimizing these challenges (McDermott et al. 2020. Benchmarking the benefits and current maturity of model-based systems engineering across the enterprise. results of the model-based systems engineering (MBSE) maturity survey, part 1: Executive summary. Technical Report SERC-2020-SR-001, Systems Engineering Research Center.). Further, the early identification of safety and security design weaknesses in safety-critical systems leads to reduced redesign costs in later design phases (Yang and EI-Haik, 2003. Design for Six Sigma. McGraw-Hill, New York City; Clausing and Frey, 2005. Improving system reliability by failure-mode avoidance including four concept design strategies. Systems Engineering, 8(3), pp. 245–261.). As a result, this article contributes the Multidisciplinary Early Design Risk Assessment Framework (MEDRAF) methodology for early combined safety and security assessment based on interdisciplinary dependency models of a system. The focus is on factors contributing to the estimation of the probabilities of successful attacks on system components. The Zero Trust paradigm is applied in which all humans, hardware, and processes interacting with the system are considered to pose a security risk. A calculation of security-related probability estimates is presented which is dependent on the current global security environment. Subsequently, security and safety probability estimates are combined to present an overall safety-security risk calculation using hybrid safety-security trees. The risk values help designers assess the loss of specific key components and safety functions. The methodology is demonstrated with a case study of a spent fuel pool cooling system in a nuclear reactor. The results of the case study show that the risk of losing one key system component doubles when combining security and safety compared to only assessing safety events. This paper is based on a paper presented at the CIE 2020 conference (Papakonstantinou et al., 2020. Towards a zero trust hybrid security and safety risk analysis method. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.).
KW - cyber physical system design and operation
KW - model-based systems engineering
KW - Cyber physical system design and operation
KW - Model-based systems engineering
UR - http://www.scopus.com/inward/record.url?scp=85127076283&partnerID=8YFLogxK
U2 - 10.1115/1.4050685
DO - 10.1115/1.4050685
M3 - Article
SN - 1530-9827
VL - 21
JO - Journal of Computing and Information Science in Engineering
JF - Journal of Computing and Information Science in Engineering
IS - 5
M1 - 050907
ER -