Special Issue "Cyber-Physical System Cybersecurity"

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (31 May 2017)

Special Issue Editor

Guest Editor
Dr. Jeremy Straub

Department of Computer Science, North Dakota State University, Fargo, ND 58102, USA
Website | E-Mail
Interests: artificial/computational Intelligence; autonomy applications in aerospace; cybersecurity; 3D printing command/control and assessment; educational assessment in computing disciplines

Special Issue Information

Dear Colleagues,

As automation and autonomy are incorporated in more-and-more cyberphysical systems, the protection of the command and control of this equipment becomes of paramount importance. A cybersecurity failure for machines that operate in the physical world can cause injury (possibly very severe) to bystanders and co-working humans, as well as significant property damage. Public trust in mechanized systems may also be eroded by security failures.

This Special Issue focuses on the cybersecurity of cyberphysical systems, providing an opportunity to present research on all areas of cyberphysical system cybersecurity as well as more general cybersecurity topics and their application to cyberphysical systems. In addition to technical content, papers on technology policy and law, considering cyberphysical system cybersecurity topics, are also welcomed.

Dr. Jeremy Straub
Guest Editor

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 papers will be 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. Machines is an international peer-reviewed open access quarterly 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 550 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 system
  • CPS
  • cybersecurity
  • security
  • automation
  • autonomy
  • assurance

Published Papers (1 paper)

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Research

Open AccessArticle
Survivability Analysis on a Cyber-Physical System
Received: 27 May 2017 / Revised: 14 July 2017 / Accepted: 28 July 2017 / Published: 1 August 2017
PDF Full-text (2457 KB) | HTML Full-text | XML Full-text
Abstract
A cyber-physical system (CPS) is composed of interdependent physical-resource and cyber-resource networks that are tightly coupled. The malfunction of nodes in a network may trigger failures to the other network and further cause cascading failures, which would potentially lead to the complete collapse [...] Read more.
A cyber-physical system (CPS) is composed of interdependent physical-resource and cyber-resource networks that are tightly coupled. The malfunction of nodes in a network may trigger failures to the other network and further cause cascading failures, which would potentially lead to the complete collapse of the entire system. The number and communication of operating nodes at stable state are closely related to the initial failure nodes and the topology of the network system. To address this issue, this paper studies the survivability of CPS in the presence of initial failure nodes, proposes (m, k)—survivability, which is defined as the probability that at least k nodes are still working in CPS after m nodes are attacked, and discusses the problem of cascading failure based on reliability (CFR). Further, we propose an algorithm to calculate (m, k)—survivability and find that the minimum survivability of system with regular allocation strategy decreases with k for a fixed m, and the proportion of initial failure node groups that cause the system to completely fragment increases with m. The simulation shows the properties and the result of CFR of the system with 12 nodes. Full article
(This article belongs to the Special Issue Cyber-Physical System Cybersecurity)
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