DINGfest

Böhm, Fabian , Menges, Florian und Pernul, Günther (2018) Graph-based visual analytics for cyber threat intelligence. Cybersecurity 1 (1), S. 1-16.

Böhm, Fabian, Rakotondravony, Noëlle, Pernul, Günther und Reiser, Hans (2018) Exploring the role of experts' knowledge in visualizations for cyber security. In: IEEE Symposium on Visualization for Cyber Security, 22.10.2018, Berlin.

Englbrecht, Ludwig , Meier, Stefan und Pernul, Günther (2019) Towards a capability maturity model for digital forensic readiness. Wireless Networks 26 (7), S. 4895-4907. Volltext nicht vorhanden.

Menges, Florian , Latzo, Tobias, Vielberth, Manfred , Sobola, Sabine, Pöhls, Henrich C., Taubmann, Benjamin, Köstler, Johannes, Puchta, Alexander, Reiser, Hans P., Freiling, Felix und Pernul, Günther (2021) Towards GDPR-compliant data processing in modern SIEM systems. Computers & Security 103, S. 102165. Volltext nicht vorhanden.

Menges, Florian , Putz, Benedikt und Pernul, Günther (2020) DEALER: decentralized incentives for threat intelligence reporting and exchange. International Journal of Information Security 2021 (5), S. 741-761.

Menges, Florian, Böhm, Fabian, Vielberth, Manfred, Puchta, Alexander, Taubmann, Benjamin, Rakotondravony, Noëlle und Latzo, Tobias (2018) Introducing DINGfest: An architecture for next generation SIEM systems. In: SICHERHEIT 2018, 25.4.2018-27.4.2018, Konstanz, DE.

Menges, Florian und Pernul, Günther (2017) A comparative analysis of incident reporting formats. Computers & Security. Volltext nicht vorhanden.

Nuss, Martin, Puchta, Alexander und Kunz, Michael (2018) Towards Blockchain-Based Identity and Access Management for Internet of Things in Enterprises. In: Furnell, S. und Mouratidis, H. und Pernul, Günther, (eds.) Trust, Privacy and Security in Digital Business. TrustBus 2018. Lecture Notes in Computer Science, 11033. Springer, Cham (Switzerland), S. 167-181.

Puchta, Alexander, Böhm, Fabian und Pernul, Günther (2019) Contributing to Current Challenges in Identity and Access Management with Visual Analytics. In: Foley, S., (ed.) Data and Applications Security and Privacy XXXIII. DBSec 2019. Lecture Notes in Computer Science, 11559. Springer, Cham, S. 221-239. ISBN 978-3-030-22479-0 (online), 978-3-030-22478-3 (print). Volltext nicht vorhanden.

Schlette, Daniel , Böhm, Fabian, Caselli, Marco und Pernul, Günther (2020) Measuring and visualizing cyber threat intelligence quality. International Journal of Information Security.