A distributed intrusion detection system for industrial automation networks. - Franka Schuster; Andreas Paul 003 (ETFA, 2012)

Towards Learning Normality for Anomaly Detection in Industrial Control Networks. - Franka Schuster; Andreas Paul 003; Hartmut König (AIMS, 2013)

Towards the Protection of Industrial Control Systems - Conclusions of a Vulnerability Analysis of Profinet IO. - Andreas Paul 003; Franka Schuster; Hartmut König (DIMVA, 2013)

Parallelization of Network Intrusion Detection Systems under Attack Conditions. - René Rietz; Michael Vogel; Franka Schuster; Hartmut König (DIMVA, 2014)

Potentials of Using One-Class SVM for Detecting Protocol-Specific Anomalies in Industrial Networks. - Franka Schuster; Andreas Paul 003; René Rietz; Hartmut König (SSCI, 2015)

Network Topology Exploration for Industrial Networks. - Andreas Paul 003; Franka Schuster; Hartmut König (INISCOM, 2016)

Attack and Fault Detection in Process Control Communication Using Unsupervised Machine Learning. - Franka Schuster; Fabian Malte Kopp; Andreas Paul 003; Hartmut König (INDIN, 2018)

Data Volume Reduction for Deep Packet Inspection by Multi-layer Application Determination. - Michael Vogel; Franka Schuster; Fabian Malte Kopp; Hartmut König (CSR, 2022)

Lights on Power Plant Control Networks. - Stefan Mehner; Franka Schuster; Oliver Hohlfeld (PAM, 2022)

Whitelisting for Characterizing and Monitoring Process Control Communication. - Andreas Paul 003; Franka Schuster; Hartmut König (NSS, 2023)

Questioning the Myth: Investigating ICS Traffic Homogeneity from an Anomaly Detection Perspective. - Franka Schuster; Hartmut König (CRITIS, 2024)

No Need for Details: Effective Anomaly Detection for Process Control Traffic in Absence of Protocol and Attack Knowledge. - Franka Schuster; Hartmut König (RAID, 2024)