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A Novel Approach for Attack Tree to Attack Graph Transformation: Extended Version

2021/10/06 by Nathan Daniel Schiele, Schiele, Nathan Daniel, Olga Gadyatskaya +1 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information and Cyber Security #Network Security and Intrusion Detection

paper · pdf · doi:10.48550/arxiv.2110.02553

openalex publication_date 2021/10/06 · openalex created_date 2021/10/11 · openalex updated_date 2026/07/28

Abstract

Attack trees and attack graphs are both common graphical threat models used by organizations to better understand possible cybersecurity threats. These models have been primarily seen as separate entities, to be used and researched in entirely different contexts, but recently there has emerged a new interest in combining the strengths of these models and in transforming models from one notation into the other. The existing works in this area focus on transforming attack graphs into attack trees. In this paper, we propose an approach to transform attack trees into attack graphs based on the fundamental understanding of how actions are represented in both structures. From this, we hope to enable more versatility in both structures.

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