Safety, Security, and Dependability in Embedded Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 1445

Special Issue Editor


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Guest Editor
Graduate School of Informatics, Nagoya University, Nagoya, Japan
Interests: embedded real-time systems, safety, security and dependability; systems engineering; systems resilience

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a premier platform for disseminating high-quality research and practical innovations related to the assurance and improvement of safety, security and dependability in embedded systems. As embedded systems become increasingly pervasive in safety-critical domains—such as in the automotive and aerospace industries, and in medical devices and industrial control, amongst other areas—ensuring their trustworthy operation is of paramount importance. This journal invites contributions that explore novel methods, tools, architectures, and case studies for the design, analysis, and verification of embedded systems, with respect to fault tolerance, cybersecurity, system reliability, and risk management. Topics of interest include, but are not limited to, the following: formal verification techniques, intrusion detection, fail-safe and fail-operational design, system resilience, runtime monitoring, and certification methodologies.

In recent years, embedded systems have evolved from standalone devices into interconnected systems that collaboratively enable new IoT services. These system-of-systems architectures present additional challenges in maintaining global safety and dependability. Therefore, this Special Issue also welcomes submissions that address the safety, security, and dependability of such collaborative embedded systems. We welcome interdisciplinary work bridging theory and practice and encourage papers that foster collaboration between academia and industry.

Dr. Yutaka Matsubara
Guest Editor

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Keywords

  • embedded system
  • safety
  • security
  • dependability
  • resilience
  • system of systems

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Published Papers (1 paper)

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Research

36 pages, 5017 KB  
Article
XGBoost-Based Anomaly Detection Framework for SOME/IP in In-Vehicle Networks
by TaeGuen Kim, Hyeon Park, Ilsun You and Byung Il Kwak
Systems 2026, 14(2), 196; https://doi.org/10.3390/systems14020196 - 11 Feb 2026
Viewed by 958
Abstract
SOME/IP is a core AUTOSAR middleware for Automotive Ethernet, enabling scalable service-oriented communication among distributed embedded devices; however, its lack of built-in authentication, encryption, and integrity protection exposes vehicles to threats such as eavesdropping, denial-of-service, fuzzing, and man-in-the-middle attacks. To study these risks, [...] Read more.
SOME/IP is a core AUTOSAR middleware for Automotive Ethernet, enabling scalable service-oriented communication among distributed embedded devices; however, its lack of built-in authentication, encryption, and integrity protection exposes vehicles to threats such as eavesdropping, denial-of-service, fuzzing, and man-in-the-middle attacks. To study these risks, we empirically reproduce representative attack behaviors in a realistic SOME/IP simulation and propose an anomaly detection framework tailored to SOME/IP traffic. The framework parses raw Ethernet frames into layered SOME/IP and SOME/IP Service Discovery representations and extracts behavior-centric features, including time-interval variation, payload likelihood and entropy, and payload and length change rates. Based on these features, it performs real-time classification using an XGBoost-based model. Experimental evaluation on a large-scale dataset demonstrates that the proposed approach achieves 0.93 PR-AUC, 0.99 ROC-AUC, and a 0.97 F1-score on a real-world-reflective, imbalanced dataset, while also delivering an end-to-end efficiency of 0.556 ms per packet, covering both feature generation and XGBoost inference. Full article
(This article belongs to the Special Issue Safety, Security, and Dependability in Embedded Systems)
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