Special Issue "Fault Trees and Attack Trees: Extensions, Solution Methods, and Applications"
Deadline for manuscript submissions: 30 September 2019
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
Manuscript Submission Information
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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.
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.