Attack tree generation by policy invalidation

Ivanova, Marieta Georgieva, Probst, Christian, Hansen, Rene Rydhof and Kammueller, Florian ORCID logoORCID: https://orcid.org/0000-0001-5839-5488 (2015) Attack tree generation by policy invalidation. Information Security Theory and Practice: 9th IFIP WG 11.2 International Conference, WISTP 2015, Heraklion, Crete, Greece, August 24-25, 2015. Proceedings. In: 9th WISTP International Conference on Information Security Theory and Practice (WISTP 2015), 24-25 Aug 2015, Heraklion, Crete, Greece. ISBN 9783319240176. ISSN 0302-9743 [Conference or Workshop Item] (doi:10.1007/978-3-319-24018-3_16)

Abstract

Attacks on systems and organisations increasingly exploit human actors, for example through social engineering. This humanising of attacks complicates their formal treatment and automatic identification; formalisation of human behaviour is difficult at best, and attacks on socio-technical systems are still mostly identified through brainstorming of experts. In this work we formalize attack tree generation including human factors; based on recent advances in system models we develop a technique to identify possible attacks analytically, including technical and human factors. Our systematic attack generation is based on invalidating policies in the system model by identifying possible sequences of actions that lead to an attack. The generated attacks are precise enough to illustrate the threat, and they are general enough to hide the details of individual steps. To the best of our knowledge this is the first formalisation of an approach to generating attack trees including steps on the technical and social level.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper published as: Ivanova M.G., Probst C.W., Hansen R.R., Kammüller F. (2015) Attack Tree Generation by Policy Invalidation. In: Akram R., Jajodia S. (eds) Information Security Theory and Practice. WISTP 2015. Lecture Notes in Computer Science, vol 9311. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 16978
Useful Links:
Depositing User: Florian Kammueller
Date Deposited: 15 Jun 2015 10:19
Last Modified: 12 Sep 2018 14:31
URI: https://eprints.mdx.ac.uk/id/eprint/16978

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