The connection to the Internet and the use of digital technologies make the industry, economy and infrastructure more vulnerable to new forms of sabotage. Industrial Security investigates the methods of the attackers and develops counter-strategies.
Industrial Security (IT/OT convergence) -Qualification network for promoting a common understanding of security among IT and OT experts
Qualification network for transferring IT security knowledge in context of the digital transformation of the economy
Developing methods and techniques to detect cyber-attacks on digitized distribution networks of electrical power enhancing its reliability and resilience.
Extending SoniControl, the first ultrasonic firewall, that detects and blocks unwanted acoustic tracking on mobile devices.
Qualification measure regarding the implementation of a Secure Development Lifecycle for Cyber-Physical Production Systems (CPPS)
The project aims at improving security within the automation network of power distribution systems by developing anomaly detection algorithms for the communication networks of substations.
The project "usable privacy box" (upribox) developes a software and creates a device that protects internet privacy and ensures data security.
This project aims at improving the operational security of advanced metering infrastructures by the development of an innovative intrusion detection system tailored to the specific characteristics.
Developing prototypes for an automated control programme in PLCopen from state machines and a learning-capable Part Average Analysis for a real production environment.
Eigner, O., Kreimel, P., & Tavolato, P. (2018). Attacks on Industrial Control Systems – Modeling and Anomaly Detection. In International Workshop on FORmal methods for Security Engineering - ForSE 2018. SCITEPRESS.
Kreimel, P., Eigner, O., & Tavolato, P. (2017). Anomaly-Based Detection and Classification of Attacks in Cyber-Physical Systems. Presented at the International Conference on Availability, Reliability and Security, ACM. https://doi.org/https://doi.org/10.1145/3098954.3103155
Eigner, O., Kreimel, P., & Tavolato, P. (2016). Detection of Man-in-the-Middle Attacks on Industrial Control Networks. Presented at the 2016 International Conference on Software Security and Assurance (ICSSA), St. Pölten, Austria: IEEE.
Brandstetter, T. (Ed.). (2016). 4th International Symposium for ICS & SCADA Cyber Security Research 2016 (ICS-CSR 2016). British Computer Society.