Jul 2020· International Journal of Systems and Software Security and Protection· Vol 11, pp. 38-57· 14 citations· 40 references
Computer Science
TL;DR
The study shows that, because security is a cross-cutting property in complex CPSs, its proficient management requires system-wide competencies and capabilities across the CPSs development and operation.
Abstract
With the expansion of cyber-physical systems (CPSs) across critical and regulated industries, systems must be continuously updated to remain resilient. At the same time, they should be extremely secure and safe to operate and use. The DevOps approach caters to business demands of more speed and smartness in production, but it is extremely challenging to implement DevOps due to the complexity of critical CPSs and requirements from regulatory authorities. In this study, expert opinions from 33 European companies expose the gap in the current state of practice on DevOps-oriented continuous development and maintenance. The study contributes to research and practice by identifying a set of needs. Subsequently, the authors propose a novel approach called Secure DevOps and provide several avenues for further research and development in this area. The study shows that, because security is a cross-cutting property in complex CPSs, its proficient management requires system-wide competencies and capabilities across the CPSs development and operation.
This paper investigates a secure-by-design engineering process focusing on the initial architectural design and examines the role that AI-powered agents can play in supporting it, as well as the conditions required for their effective and reliable use.
C. Ponsard, Jean-François Daune· International Conference on...· 0 citations
Findings show that LLMs can support early stages of the elicitation of security requirements, although human review is still needed, especially to improve or adjust certain aspects of the requirements.
Michail Takaronis, Athanasia Kollarou, G. Kavallieratos et al.· 0 citations
The approach addresses the need to strengthen practical OT-ICS skills in the face of increasing complexity, ongoing digitalization, and expanding attack surfaces in cyber-physical systems, particularly in the electric and industrial manufacturing sectors.
Luiz F. Freitas-Gutierres, J. Cassol, Adriano P. Morais et al.· Anais do LIII Seminário Inte...· 0 citations
This work introduces a formally gate-sequenced, cross-domain lifecycle, the first integrated model that encodes mandatory dependency ordering across all four control domains with traceable evidence artifacts at each stage, directly addressing structural gap responsible for enterprise-owned SaaS failures such as the 202...
The automotive industry increasingly relies on complex embedded systems that inte-grate software, electronic hardware, electromechanical, and mechanical components. To ensure quality, the
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rocess Improvement and Capability Determination (ASPICE) framework has been extended by cybersecurit...
Christian Schlager, A. Mashkoor· Journal of universal compute...· 0 citations
The paper is a systematic and multifaceted review of the new trends in cyber-physical security of smart factories, and looks at the threat landscapes, attack vectors, architecture weaknesses, and intersection of the information technology (IT) and operational technology (OT) worlds.
Hiroshi Tanaka, Yuki Nakamura· International Journal of Mod...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.