Safety of Real-Time and Cyber-Physical Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 765

Special Issue Editors


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Guest Editor
College of Science and Engineering, Texas State University, San Marcos, TX 78666, USA
Interests: cognitive AI, cyber physical systems security, biologically inspired algorithms.

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Guest Editor
Engineering, San Antonio College, San Antonio, TX 78212, USA
Interests: reinforcement learning

Special Issue Information

Dear Colleagues,

Ongoing technology advancements in transportation, smart cities, healthcare, and other fields have continued to increase the integration of cyber–physical systems (CPS) within our daily lives. While these adoptions have dramatically enhanced the human experience, they have also considerably increased safety risks to end-users. This Special Issue delves into the multifaceted realm of "Safety of Real-Time and Cyber–Physical Systems". It encompasses a rich tapestry of research and insights aimed at addressing the critical challenges, innovations, and best practices that ensure the secure and reliable operation of these systems. These include, but are not limited to, the following topics:

(1) Cybersecurity and resilience in CPS: Cyber–physical systems are vulnerable to cyber threats, making cybersecurity and resilience crucial. Papers in this collection may be related to security protocols, intrusion detection, and resilient system designs to safeguard against cyber-attacks.

(2) Human–Machine Interaction and User-Centered Safety: Recognizing that humans are integral to many of these systems, papers in this collection will highlight research on user-centered design, usability, and the impact of human factors on safety.

(3) Emerging Technologies and Safety: Artificial Intelligence (AI) plays a pivotal role in enhancing safety in these systems. Papers in this collection will examine how emerging technologies such as machine learning and edge computing are transforming the safety landscape of CPS for anomaly detection, predictive maintenance, and decision support.

(4) Ethical AI and Safety: As technology evolves, so do regulations and ethical concerns. Papers in this collection will discuss the regulatory landscape, ethical considerations in AI and safety, and the role of standards in ensuring safety in CPS.

Dr. Heena Rathore
Dr. Henry Griffith
Guest Editors

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Keywords

  • cybersecurity and resilience in CPS
  • human-machine interaction and user-centered safety
  • emerging technologies and safety
  • ethical AI and safety

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Published Papers (1 paper)

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Research

17 pages, 778 KiB  
Article
Virtualized Fault Injection Framework for ISO 26262-Compliant Digital Component Hardware Faults
by Rui Almeida, Vitor Silva and Jorge Cabral
Electronics 2024, 13(14), 2787; https://doi.org/10.3390/electronics13142787 - 16 Jul 2024
Viewed by 547
Abstract
Simulation-based Fault Injection (FI) is crucial for validating system behaviour in safety-critical applications, such as the automotive industry. The ISO 26262 standard’s Part 11 extension provides failure modes for digital components, driving the development of new fault models to assess software-implemented mechanisms against [...] Read more.
Simulation-based Fault Injection (FI) is crucial for validating system behaviour in safety-critical applications, such as the automotive industry. The ISO 26262 standard’s Part 11 extension provides failure modes for digital components, driving the development of new fault models to assess software-implemented mechanisms against random hardware failures (RHF). This paper proposes a Fault Injection framework, QEFIRA, and shows its ability to achieve the failure modes proposed by Part 11 of the ISO 26262 standard and estimate relevant metrics for safety mechanisms. QEFIRA uses QEMU to inject permanent and transient faults during runtime, whilst logging the system state and providing automatic post-execution analysis. Complemented with a confusion matrix, it allows us to gather standard compliant metrics to characterise and evaluate different designs in the early stages of development. Comparatively to the native QEMU implementation, the tool only shows a slowdown of 1.4× for real-time microcontroller-based applications. Full article
(This article belongs to the Special Issue Safety of Real-Time and Cyber-Physical Systems)
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