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20212025
most citedComparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Empirical assessment of the perception of graphical threat model acceptability

Nathan D. Schiele, Olga Gadyatskaya

Threat modeling (TM) is an important aspect of risk analysis and secure software engineering. Graphical threat models are a recommended tool to analyze and communicate threat infor…

cs.CR2025

A limited technical background is sufficient for attack-defense tree acceptability

Nathan Daniel Schiele, Olga Gadyatskaya

Attack-defense trees (ADTs) are a prominent graphical threat modeling method that is highly recommended for analyzing and communicating security-related information. Despite this,…

cs.CR2025

Attack Tree Distance: a practical examination of tree difference measurement within cyber security

Nathan D. Schiele, Olga Gadyatskaya

Attack trees are a popular threat modeling method. In practice, there is often a need to compare attack tree models produced by human experts, based on both the structure of the tr…

cs.HC2022★ 1 cited

Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

Moataz Abdelaal, Nathan D. Schiele, Katrin Angerbauer +3

This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 15…

cs.CR2021

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

Nathan Daniel Schiele, Olga Gadyatskaya

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 s…