Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83503
Title: Semantics for Specialising Attack Trees based on Linear Logic
Authors: Horne, Ross
Mauw, Sjouke
Tiu, Alwen
Keywords: Semantics
Attack trees
Issue Date: 2016
Source: Horne, R., Mauw, S., & Tiu, A. (2017). Semantics for Specialising Attack Trees based on Linear Logic. Fundamenta Informaticae, 153(1-2), 57-86.
Series/Report no.: Fundamenta Informaticae
Abstract: Attack trees profile the sub-goals of the proponent of an attack. Attack trees have a variety of semantics depending on the kind of question posed about the attack, where questions are captured by an attribute domain. We observe that one of the most general semantics for attack trees, the multiset semantics, coincides with a semantics expressed using linear logic propositions. The semantics can be used to compare attack trees to determine whether one attack tree is a specialisation of another attack tree. Building on these observations, we propose two new semantics for an extension of attack trees named causal attack trees. Such attack trees are extended with an operator capturing the causal order of sub-goals in an attack. These two semantics extend the multiset semantics to sets of series-parallel graphs closed under certain graph homomorphisms, where each semantics respects a class of attribute domains. We define a sound logical system with respect to each of these semantics, by using a recently introduced extension of linear logic, called MAV, featuring a non-commutative operator. The non-commutative operator models causal dependencies in causal attack trees. Similarly to linear logic for attack trees, implication defines a decidable preorder for specialising causal attack trees that soundly respects a class of attribute domains.
URI: https://hdl.handle.net/10356/83503
http://hdl.handle.net/10220/42718
ISSN: 0169-2968
DOI: 10.3233/FI-2017-1531
Rights: © 2016 IOS Press and the authors. This is the author created version of a work that has been peer reviewed and accepted for publication by Fundamenta Informaticae, IOS Press and the authors. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [https://dx.doi.org/10.3233/FI-2017-1531].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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