Informatics, TU Vienna

Intrusion detection systems for Smart Grid: model-based anomaly detection

The shift from centralized large production to distributed energy production has several consequences on the current power system operation.

Abstract

The shift from centralized large production to distributed energy production has several consequences on the current power system operation. The increasing number of the distributed energy resources (DERs) replacing large power plants influences the dependency of the power system on the small scale distributed production. Many of these DERs can be accessed and controlled remotely, posing a cyber-security risk. The cyber-physical system analysis helps the power system operator to discover if its assets have been compromised. The cyber-physical intrusion detection systems offer additional monitoring and decision aiding tools to discover malicious operation of the power grid. This talk presents the model-based anomaly detection concept that can be used in smart grid cyber-physical intrusion detection system.

Biography

Anna Magdalena Kosek completed her Ph.D. in Computer Science, an outcome of cooperation between Edinburgh Napier University, Scotland, and NXP Semiconductors, The Netherlands. In 2011 Miss Kosek joined Technical University of Denmark, and currently working as a Research Scientist in Power System Operation and Management group. Miss Kosek is working with smart grid software architecture, home automation, data analysis and anomaly detection.

Note

This talk is part of the "Cyber Security Lecture Series" organized by the Automation Systems Group at the Institute of Computer Aided Automation and AIT Sefety and Security Department.