Security and Safety Assurance for Aerospace Embedded Systems

International audienceThe paper starts with the list of basic principles that guided the development of the SEISES security and safety assurance framework. Then we present the SEISES structure and we provide some examples of assurance objectives and related assurance activities. We detail the convergence between safety and security assurance activities that we have identified. Finally, we introduce the three demonstrators and we summarize the main lessons learnt from these experimentations. We conclude the paper by summarizing the results of the SEISES project, by comparing these results with other approaches dealing with joint safety and security assurance and by listing promising directions for further research

AI-assisted distributed applications

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Contextualisation of the concept of Digital Twin in digital transformation

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Edge Computing at Smart Manufacturing: AI explicability for safety, how to achieve it?

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Edge Computing at Smart Manufacturing : AI explicability for safety, how to achieve it ?

International audienc

Assurance levels for decision making in autonomous intelligent systems and their safety

International audienceThe autonomy of intelligent systems and their safety rely on their ability for local decision making based on collected environmental information. This is even more for cyber-physical systems running safety critical activities. While this intelligence is partial and fragmented, and cognitive techniques are of limited maturity, the decision function must produce results whose validity and scope must be weighted in light of the underlying assumptions, unavoidable uncertainty and hypothetical safety limitation. Besides the cognitive techniques dependability, it is about the assurance level of the decision self-making. Beyond the pure decision-making capabilities of the autonomous intelligent system, we need techniques that guarantee the system assurance required for the intended use. Security mechanisms for cognitive systems may be consequently tightly intricated. We propose a trustworthiness module which is part of the system and its resulting safety. In this paper, we briefly review the state of the art regarding the dependability of cognitive techniques, the assurance level definition in this context, and related engineering practices. We elaborate regarding the design of autonomous intelligent systems safety, then we discuss its security design and approaches for the mitigation of safety violations by the cognitive functions