Visible to the public Parametric Analyses of Attack-Fault Trees

TitleParametric Analyses of Attack-Fault Trees
Publication TypeConference Paper
Year of Publication2019
AuthorsAndré, Étienne, Lime, Didier, Ramparison, Mathias, Stoelinga, Mariëlle
Conference Name2019 19th International Conference on Application of Concurrency to System Design (ACSD)
Date PublishedJune 2019
PublisherIEEE
ISBN Number978-1-7281-3843-5
Keywordsattack-fault trees, Automata, automata theory, composability, Concurrency, connected devices, Cost accounting, CPS, cyber physical systems, Cyber-physical systems, fault scenarios, fault trees, formal verification, imitator, Logic gates, Metrics, model-checker IMITATOR, parameter values, parametric analyses, parametric timed automata, parametric weighted timed automata, power plants, pubcrawl, resilience, Resiliency, risk analysis, risk assessment, Safety, safety engineering, security, security of data, tree-based formalism, trees (mathematics), Unified modeling language
Abstract

Risk assessment of cyber-physical systems, such as power plants, connected devices and IT-infrastructures has always been challenging: safety (i.e., absence of unintentional failures) and security (i. e., no disruptions due to attackers) are conditions that must be guaranteed. One of the traditional tools used to help considering these problems is attack trees, a tree-based formalism inspired by fault trees, a well-known formalism used in safety engineering. In this paper we define and implement the translation of attack-fault trees (AFTs) to a new extension of timed automata, called parametric weighted timed automata. This allows us to parametrize constants such as time and discrete costs in an AFT and then, using the model-checker IMITATOR, to compute the set of parameter values such that a successful attack is possible. Using the different sets of parameter values computed, different attack and fault scenarios can be deduced depending on the budget, time or computation power of the attacker, providing helpful data to select the most efficient counter-measure.

URLhttps://ieeexplore.ieee.org/document/8843643
DOI10.1109/ACSD.2019.00008
Citation Keyandre_parametric_2019