Ünözkan, H., Ertem, M., & Bendak, S. (2022). Using attack graphs to defend healthcare systems from cyberattacks: a longitudinal empirical study. Network Modeling Analysis in Health Informatics and Bioinformatics, 11(1). https://doi.org/10.1007/s13721-022-00391-1
ISO-690 (author-date, English)ÜNÖZKAN, Hüseyin, ERTEM, Mehmet und BENDAK, Salaheddine, 2022. Using attack graphs to defend healthcare systems from cyberattacks: a longitudinal empirical study. Network Modeling Analysis in Health Informatics and Bioinformatics. 1 Dezember 2022. Vol. 11, no. 1, . DOI 10.1007/s13721-022-00391-1.
Modern Language Association 9th editionÜnözkan, H., M. Ertem, und S. Bendak. „Using Attack Graphs to Defend Healthcare Systems from Cyberattacks: A Longitudinal Empirical Study“. Network Modeling Analysis in Health Informatics and Bioinformatics, Bd. 11, Nr. 1, Dezember 2022, https://doi.org/10.1007/s13721-022-00391-1.
Mohr Siebeck - Recht (Deutsch - Österreich)Ünözkan, Hüseyin/Ertem, Mehmet/Bendak, Salaheddine: Using attack graphs to defend healthcare systems from cyberattacks: a longitudinal empirical study, Network Modeling Analysis in Health Informatics and Bioinformatics 2022,
Emerald - HarvardÜnözkan, H., Ertem, M. und Bendak, S. (2022), „Using attack graphs to defend healthcare systems from cyberattacks: a longitudinal empirical study“, Network Modeling Analysis in Health Informatics and Bioinformatics, Vol. 11 No. 1, verfügbar unter:https://doi.org/10.1007/s13721-022-00391-1.