Semi-synthetic data set generation for security software evaluation. - Florian Skopik; Giuseppe Settanni; Roman Fiedler; Ivo Friedberg (PST, 2014)

Establishing national cyber situational awareness through incident information clustering. - Florian Skopik; Markus Wurzenberger; Giuseppe Settanni; Roman Fiedler (CyberSA, 2015)

Beyond gut instincts: Understanding, rating and comparing self-learning IDSs. - Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Roman Fiedler (CyberSA, 2015)

A Blueprint for a Pan-European Cyber Incident Analysis System. - Giuseppe Settanni; Florian Skopik; Helmut Kaufmann; Tobias Gebhardt; Klaus Theuerkauf; Konstantin Böttinger; Mark Carolan; Damien Conroy; Pia Olli (ICS-CSR, 2015)

Combating advanced persistent threats: From network event correlation to incident detection. - Ivo Friedberg; Florian Skopik; Giuseppe Settanni; Roman Fiedler (Comput. Secur., 2015)

POSTER: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data. - Pedro Casas; Alessandro D'Alconzo; Giuseppe Settanni; Pierdomenico Fiadino; Florian Skopik (CCS, 2016)

A Collaborative Analysis System for Cross-organization Cyber Incident Handling. - Giuseppe Settanni; Florian Skopik; Yegor Shovgenya; Roman Fiedler (ICISSP, 2016)

Correlating cyber incident information to establish situational awareness in Critical Infrastructures. - Giuseppe Settanni; Yegor Shovgenya; Florian Skopik; Roman Graf; Markus Wurzenberger; Roman Fiedler (PST, 2016)

A problem shared is a problem halved: A survey on the dimensions of collective cyber defense through security information sharing. - Florian Skopik; Giuseppe Settanni; Roman Fiedler (Comput. Secur., 2016)

Complex log file synthesis for rapid sandbox-benchmarking of security- and computer network analysis tools. - Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Wolfgang Scherrer (Inf. Syst., 2016)

Network security and anomaly detection with Big-DAMA, a big data analytics framework. - Pedro Casas; Francesca Soro; Juan Martin Vanerio; Giuseppe Settanni; Alessandro D'Alconzo (CloudNet, 2017)

Acquiring Cyber Threat Intelligence through Security Information Correlation. - Giuseppe Settanni; Yegor Shovgenya; Florian Skopik; Roman Graf; Markus Wurzenberger; Roman Fiedler (CYBCONF, 2017)

Improved software vulnerability patching techniques using CVSS and game theory. - Louai Maghrabi; Eckhard Pfluegel; Luluwah Al-Fagih; Roman Graf; Giuseppe Settanni; Florian Skopik (Cyber Security, 2017)

A collaborative cyber incident management system for European interconnected critical infrastructures. - Giuseppe Settanni; Florian Skopik; Yegor Shovgenya; Roman Fiedler; Mark Carolan; Damien Conroy; Konstantin Böttinger; Mark Gall; Gerd Brost; Christophe Ponchel; Mirko Haustein; Helmut Kaufmann; et al. (J. Inf. Secur. Appl., 2017)

AECID: A Self-learning Anomaly Detection Approach based on Light-weight Log Parser Models. - Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Roman Fiedler (ICISSP, 2018)

Protecting cyber physical production systems using anomaly detection to enable self-adaptation. - Giuseppe Settanni; Florian Skopik; Anjeza Karaj; Markus Wurzenberger; Roman Fiedler (ICPS, 2018)

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection. - Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser (ISPEC, 2018)

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection. - Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser (Comput. Secur., 2018)

Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems. - Giuseppe Settanni; Florian Skopik; Markus Wurzenberger; Roman Fiedler (Elektrotech. Informationstechnik, 2018)

Self-Adaptation Applied to MQTT via a Generic Autonomic Management Framework. - Silia Maksuti; Oliver Schluga; Giuseppe Settanni; Markus Tauber; Jerker Delsing (ICIT, 2019)

Big Data for Cybersecurity. - Markus Wurzenberger; Florian Skopik; Giuseppe Settanni (Encyclopedia of Big Data Technologies, 2019)