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Resilient Cyber-Physical Systems
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Resilient Cyber-Physical Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (10 July 2021) | Viewed by 8572

Special Issue Editors

Prof. Andrea Bondavalli

E-Mail Website
Guest Editor
University of Florence
Interests: dependability, critical cyber-physical systems of systems; critical infrastructures; fault tolerance; modeling and evaluation
Special Issues, Collections and Topics in MDPI journals
Dr. Andrea Ceccarelli

E-Mail Website
Guest Editor
University of Florence
Interests: safety-critical cyber-physical systems; secure systems; risk assessment; monitoring; anomaly detection

Special Issue Information

Dear Colleagues,

The widespread use of Cyber-Physical Systems has manifested in the increasing demand of guaranteeing and proving their resilience. The advent of the Industry 4.0 paradigm, the Internet of Things, and enabling technologies as Artificial Intelligence and Machine Learning open new scenarios that lead to emerging threats and hazards due to novel applications, communication channels, and attack surfaces. Consequently, the research and industrial communities are requested to answer with innovative means for the design, evaluation, assessment and certification of resilient cyber-physical systems.

This Special Issue “Resilient Cyber-Physical Systems” aims to discuss innovative methodologies and techniques for improving resilience in the broad spectrum of cyber physical systems, presenting new research advances as well as their application in relevant case studies, especially welcoming industrial applications. New ideas proposing disruptive approaches are also welcome.

Topics of interest include, but are not limited to, the following areas:

  • Design and assessment methodologies, techniques, and tools for secure and dependable cyber-physical systems
  • Modelling and experimenting with resilient cyber-physical systems
  • Threat and hazard assessment and mitigation
  • Artificial Intelligence solutions for cyber-physical resiliency
  • Model-Driven Engineering for resilient cyber-physical systems
  • Validation and certification issues in cyber-physical systems
  • Industrial applications and case studies

Prof. Dr. Andrea Bondavalli
Dr. Andrea Ceccarelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cyber-Physical Systems
  • Dependability
  • Security
  • Resilient computing

Published Papers (2 papers)

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Research

23 pages, 854 KiB  
Article
Introduction of the ARDS—Anti-Ransomware Defense System Model—Based on the Systematic Review of Worldwide Ransomware Attacks
by Veronika Szücs, Gábor Arányi and Ákos Dávid
Appl. Sci. 2021, 11(13), 6070; https://doi.org/10.3390/app11136070 - 30 Jun 2021
Cited by 4 | Viewed by 4253
Abstract
We live in a world of digital information communication and digital data storage. Following the development of technology, demands from the user side also pose serious challenges for developers, both in the field of hardware and software development. However, the increasing penetration of [...] Read more.
We live in a world of digital information communication and digital data storage. Following the development of technology, demands from the user side also pose serious challenges for developers, both in the field of hardware and software development. However, the increasing penetration of the Internet, IoT and digital solutions that have become available in almost every segment of life, carries risks as well as benefits. In this study, the authors present the phenomenon of ransomware attacks that appear on a daily basis, which endangers the operation and security of the digital sphere of both small and large enterprises and individuals. An overview of ransomware attacks, the tendency and characteristics of the attacks, which have caused serious financial loss and other damages to the victims, are presented. This manuscript also provides a brief overview of protection against ransomware attacks and the software and hardware options that enhance general user security and their effectiveness as standalone applications. The authors present the results of the study, which aimed to explore how the available software and hardware devices can implement digital user security. Based on the results of the research, the authors propose a complex system that can be used to increase the efficiency of network protection and OS protection tools already available to improve network security, and to detect ransomware attacks early. As a result, the model of the proposed protection system is presented, and it can be stated that the complex system should be able to detect ransomware attacks from either the Internet or the internal network at an early stage, mitigate malicious processes and maintain data in recoverable state. Full article
(This article belongs to the Special Issue Resilient Cyber-Physical Systems)
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24 pages, 733 KiB  
Article
An Efficient Library for Reliability Block Diagram Evaluation
by Laura Carnevali, Lorenzo Ciani, Alessandro Fantechi, Gloria Gori and Marco Papini
Appl. Sci. 2021, 11(9), 4026; https://doi.org/10.3390/app11094026 - 28 Apr 2021
Cited by 10 | Viewed by 3566
Abstract
Reliability Block Diagrams (RBDs) are widely used in reliability engineering to model how the system reliability depends on the reliability of components or subsystems. In this paper, we present librbd, a C library providing a generic, efficient and open-source solution for time-dependent [...] Read more.
Reliability Block Diagrams (RBDs) are widely used in reliability engineering to model how the system reliability depends on the reliability of components or subsystems. In this paper, we present librbd, a C library providing a generic, efficient and open-source solution for time-dependent reliability evaluation of RBDs. The library has been developed as a part of a project for reliability evaluation of complex systems through a layered approach, combining different modeling formalisms and solution techniques at different system levels. The library achieves accuracy and efficiency comparable to, and mostly better than, those of other well-established tools, and it is well designed so that it can be easily used by other libraries and tools. Full article
(This article belongs to the Special Issue Resilient Cyber-Physical Systems)
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