Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees

Dov M. Gabbay; Ross Horne; Sjouke Mauw; Leendert van der Torre

doi:10.1007/978-3-030-62230-5_8

Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees

Dov M. Gabbay, Ross Horne, Sjouke Mauw, Leendert van der Torre

University of Luxembourg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This position paper connects the areas and communities of abstract argumentation and attack-defence trees in the area of security. Both areas deal with attacks, defence and support and both areas rely on applications dealing with human aggressive activities. The unifying idea we use in this paper is to regard arguments as AND-OR attack trees as proposed by Schneier in the security domain. The core model, which is acceptable for both communities, is a pair where S is a set of attack trees (the “arguments”) and is a binary relation on attack trees (the “attack” relation). This leads us to the notion of an attack-defence framework, which provides an argumentation-based semantics for attack-defence trees and more general attack-defence graphs.

Original language	English
Title of host publication	Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers
Editors	Harley Eades III, Olga Gadyatskaya
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	143-165
Number of pages	23
ISBN (Print)	9783030622299
DOIs	https://doi.org/10.1007/978-3-030-62230-5_8
State	Published - 2020
Externally published	Yes
Event	7th International Workshop on Graphical Models for Security, GramSec 2020 - Boston, United States Duration: 22 Jun 2020 → 22 Jun 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12419 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Graphical Models for Security, GramSec 2020
Country/Territory	United States
City	Boston
Period	22/06/20 → 22/06/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-62230-5_8

Cite this

Gabbay, D. M., Horne, R., Mauw, S., & van der Torre, L. (2020). Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees. In H. Eades III, & O. Gadyatskaya (Eds.), Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers (pp. 143-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12419 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62230-5_8

Gabbay, Dov M. ; Horne, Ross ; Mauw, Sjouke et al. / Attack-Defence Frameworks : Argumentation-Based Semantics for Attack-Defence Trees. Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers. editor / Harley Eades III ; Olga Gadyatskaya. Springer Science and Business Media Deutschland GmbH, 2020. pp. 143-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This position paper connects the areas and communities of abstract argumentation and attack-defence trees in the area of security. Both areas deal with attacks, defence and support and both areas rely on applications dealing with human aggressive activities. The unifying idea we use in this paper is to regard arguments as AND-OR attack trees as proposed by Schneier in the security domain. The core model, which is acceptable for both communities, is a pair where S is a set of attack trees (the “arguments”) and is a binary relation on attack trees (the “attack” relation). This leads us to the notion of an attack-defence framework, which provides an argumentation-based semantics for attack-defence trees and more general attack-defence graphs.",

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Gabbay, DM, Horne, R, Mauw, S & van der Torre, L 2020, Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees. in H Eades III & O Gadyatskaya (eds), Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12419 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 143-165, 7th International Workshop on Graphical Models for Security, GramSec 2020, Boston, United States, 22/06/20. https://doi.org/10.1007/978-3-030-62230-5_8

Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees. / Gabbay, Dov M.; Horne, Ross; Mauw, Sjouke et al.
Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers. ed. / Harley Eades III; Olga Gadyatskaya. Springer Science and Business Media Deutschland GmbH, 2020. p. 143-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12419 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gabbay DM, Horne R, Mauw S, van der Torre L. Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees. In Eades III H, Gadyatskaya O, editors, Graphical Models for Security - 7th International Workshop, GraMSec 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 143-165. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-62230-5_8

Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Trees

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