Refinement-aware generation of attack trees

O. Gadyatskaya, R. Jhawar, S. Mauw, R. Trujillo-Rasua, T.A.C. Willemse

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

8 Citaten (Scopus)

Samenvatting

Attack trees allow a security analyst to obtain an overview of the potential vulnerabilities of a system. Due to their refinement structure, attack trees support the analyst in understanding the system vulnerabilities at various levels of abstraction. However, contrary to manually synthesized attack trees, automatically generated attack trees are often not refinement-aware, making subsequent human processing much harder. The generation of attack trees in which the refined nodes correspond to semantically relevant levels of abstraction is still an open question. In this paper, we formulate the attack-tree generation problem and propose a methodology to, given a system model, generate attack trees with meaningful levels of abstraction.

Originele taal-2Engels
TitelSecurity and Trust Management
Subtitel13th International Workshop, STM 2017, Oslo, Norway, September 14–15, 2017, Proceedings
RedacteurenG. Livraga, C. Mitchell
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's164-179
Aantal pagina's16
ISBN van elektronische versie978-3-319-68063-7
ISBN van geprinte versie978-3-319-68062-0
DOI's
StatusGepubliceerd - 2017
Evenement13th International Workshop on Security and Trust Management, STM 2017 - Oslo, Noorwegen
Duur: 14 sep 201715 sep 2017

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10547 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres13th International Workshop on Security and Trust Management, STM 2017
LandNoorwegen
StadOslo
Periode14/09/1715/09/17

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  • Citeer dit

    Gadyatskaya, O., Jhawar, R., Mauw, S., Trujillo-Rasua, R., & Willemse, T. A. C. (2017). Refinement-aware generation of attack trees. In G. Livraga, & C. Mitchell (editors), Security and Trust Management: 13th International Workshop, STM 2017, Oslo, Norway, September 14–15, 2017, Proceedings (blz. 164-179). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10547 LNCS). Springer. https://doi.org/10.1007/978-3-319-68063-7_11