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20172026
most citedEfficient and Generic Algorithms for Quantitative Attack Tree Analysis

25 citations · 99 across the 22 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CR2024

Quantitative analysis of attack-fault trees via Markov decision processes

Milan Lopuhaä-Zwakenberg

Adequate risk assessment of safety critical systems needs to take both safety and security into account, as well as their interaction. A prominent methodology for modeling safety a…

cs.LG2024

Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization

Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg +2

Federated learning (FL) emerged as a paradigm designed to improve data privacy by enabling data to reside at its source, thus embedding privacy as a core consideration in FL archit…

cs.AI2024

Fuzzy Fault Trees Formalized

Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga

Fault tree analysis is a vital method of assessing safety risks. It helps to identify potential causes of accidents, assess their likelihood and severity, and suggest preventive me…

cs.LO2024

Querying Fault and Attack Trees: Property Specification on a Water Network

Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, E. Moritz Hahn +1

We provide an overview of three different query languages whose objective is to specify properties on the highly popular formalisms of fault trees (FTs) and attack trees (ATs). The…

cs.CR2024

Fuzzy quantitative attack tree analysis

Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga

Attack trees are important for security, as they help to identify weaknesses and vulnerabilities in a system. Quantitative attack tree analysis supports a number security metrics,…

cs.CR2024

Attack tree metrics are operad algebras

Milan Lopuhaä-Zwakenberg

Attack Trees (ATs) are a widely used tool for security analysis. ATs can be employed in quantitative security analysis through metrics, which assign a security value to an AT. Many…