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Formal Template-Based Generation of Attack–Defence Trees for Automated Security Analysis

Jeremy Bryans, Lin Shen Liew, Hoang Nguyen Orcid Logo, Giedre Sabaliauskaite Orcid Logo, Siraj Shaikh Orcid Logo

information, Volume: 14, Issue: 9

Swansea University Authors: Hoang Nguyen Orcid Logo, Giedre Sabaliauskaite Orcid Logo, Siraj Shaikh Orcid Logo

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DOI (Published version): 10.3390/info14090481

Abstract

Systems that integrate cyber and physical aspects to create cyber-physical systems (CPS) are becoming increasingly complex, but demonstrating the security of CPS is hard and security is frequently compromised. These compromises can lead to safety failures, putting lives at risk. Attack Defense Trees...

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Published in: information
ISSN: 2078-2489
Published: MDPI 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64161
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Abstract: Systems that integrate cyber and physical aspects to create cyber-physical systems (CPS) are becoming increasingly complex, but demonstrating the security of CPS is hard and security is frequently compromised. These compromises can lead to safety failures, putting lives at risk. Attack Defense Trees with sequential conjunction (ADS) are an approach to identifying attacks on a system and identifying the interaction between attacks and the defenses that are present within the CPS. We present a semantic model for ADS and propose a methodology for generating ADS automatically. The methodology takes as input a CPS system model and a library of templates of attacks and defenses. We demonstrate and validate the effectiveness of the ADS generation methodology using an example from the automotive domain.
College: Faculty of Science and Engineering
Issue: 9