Special Issue "Fault Trees and Attack Trees: Extensions, Solution Methods, and Applications"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 30 September 2019

Special Issue Editor

Guest Editor
Dr. Daniele Codetta Raiteri

Computer Science Institute, DiSIT, University of Piemonte Orientale, Alessandria, Italy
Website | E-Mail
Interests: probabilistic graphical models; reliability; risk analysis; security

Special Issue Information

Dear Colleagues,

Fault trees are a well-known model for the reliability analysis of systems, used to compute several kinds of qualitative and quantitative measures, such as minimal cut sets, system failure probability, sensitivity indices, etc. Fault trees represent the possible combinations of component failures leading to system failure by means of logic gates (or ports). During the years, fault trees have been extended to increase their modelling power and deal with component dependencies, multi-state components, repair, etc. The modelling elements introduced to this end, such as new gates, required the definition of new solving procedures, typically based on the fault tree conversion into other models, such as binary decision diagrams (BDD), Markov Chains, Petri nets, Bayesian networks, etc. Besides the application in reliability analysis, fault trees have been exploited to model attack modes and evaluate the security level of systems. In this field, they are called attack trees and have been extended to represent both attacks and countermeasures. Software tools and libraries for fault/attack trees have been developed and improved over the years. The goal of this Special Issue is to collect recent developments in fault/attack tree extensions, solution methods, software tools, and applications in reliability and security evaluation. Topics of interest include, but are not limited to, the following:

  • Extensions of fault/attack trees in terms of modelling power
  • Automatic generation of lower-level models from fault/attack trees
  • Fault/attack tree analysis methods
  • Repair modelling in fault trees
  • Defence modelling in attack trees
  • Solution methods for fault/attack trees
  • Software tools for fault/attack tree design and analysis
  • Applications of fault/attack trees in real case studies

Dr. Daniele Codetta-Raiteri
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. Information is an international peer-reviewed open access monthly journal published by MDPI.

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Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: On the use of stochastic hybrid fault tree automaton for the modelling and resolution of dynamic reliability problems
Authors: Ferdinando Chiacchio
Affiliation: University of Catania, Italy
Abstract: Dependability assessment is one of the most important activity for the analysis of complex systems. Traditional techniques like Fault Tree Analysis or Reliability Block Diagrams are of easy implementation but unrealistic due to their simplified hypotheses that assume the components malfunction to be independent from each other and from the system working conditions.
Recent contributions within the umbrella of the Dynamic Probabilistic Risk Assessment framework have shown their capability of increasing the accuracy of dependability assessment. Among them, Stochastic Hybrid Fault Tree Automaton is a promising methodology because, being able to combine a Dynamic Fault Tree model with the deterministic model of the system process, can provide not only the typical dependability metrics, but also information on the evolution of the physical variables of the system process.
In this paper, the Stochastic Hybrid Fault Tree Automaton technique is summarized and several practical cases of study are discussed and modelled with SHyFTOO, a software toolbox specifically designed to solve this type of models.

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