Kammueller, F.

A proof calculus for attack trees in Isabelle

Conference paper

Kammueller, F. 2017. A proof calculus for attack trees in Isabelle. 12th International Workshop on Data Privacy Management (DPM 2017). Oslo, Norway 14 - 15 Sep 2017 Springer. pp. 3-18 https://doi.org/10.1007/978-3-319-67816-0_1

ISBN
Type	Conference paper
Title	A proof calculus for attack trees in Isabelle
Authors	Kammueller, F.
Abstract	Attack trees are an important modeling formalism to identify and quantify attacks on security and privacy. They are very useful as a tool to understand step by step the ways through a system graph that lead to the violation of security policies. In this paper, we present how attacks can be refined based on the violation of a policy. To that end we provide a formal definition of attack trees in Isabelle’s Higher Order Logic: a proof calculus that defines how to refine sequences of attack steps into a valid attack. We use a notion of Kripke semantics as formal foundation that then allows to express attack goals using branching time temporal logic CTL. We illustrate the use of the mechanized Isabelle framework on the example of a privacy attack to an IoT healthcare system.
Conference	12th International Workshop on Data Privacy Management (DPM 2017)
Page range	3-18
ISSN	0302-9743
Hardcover	9783319678153
Publisher	Springer
Publication dates
Print	13 Sep 2017
Publication process dates
Deposited	10 Aug 2017
Accepted	23 Jul 2017
Completed	01 Aug 2017
Output status	Published
Accepted author manuscript	paper.pdf
Copyright Statement	The final publication is available at Springer via via http://dx.doi.org/10.1007/978-3-319-67816-0
Additional information	Paper published as: Kammüller F. (2017) A Proof Calculus for Attack Trees in Isabelle. In: Garcia-Alfaro J., Navarro-Arribas G., Hartenstein H., Herrera-Joancomartí J. (eds) Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM 2017, CBT 2017. Lecture Notes in Computer Science, vol 10436. Springer, Cham
Digital Object Identifier (DOI)	https://doi.org/10.1007/978-3-319-67816-0_1
Language	English
Book title	Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Oslo, Norway, September 14-15, 2017, Proceedings

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