Keeping a smart grid stable, robust, and secure, requires secure data flows. Although the complexity of cyber-physical systems can be challenging to manage, their cross-domain nature provides advantages for devising advanced intrusion detection schemes. An intrusion can be detected and classified, based on physical- and on cyber-patterns.

Most physical phenomena cannot be easily bluffed, and modern data acquisition systems can be upgraded with contextual intrusion detection systems (IDS).

The project is to extend on state of the art to develop highly accurate integrated cyber-physical smart grid (CPSG) IDS. Both analytical and numerical methods will be used to develop and validate the CPSG IDS. A co-simulation setup, that includes Modbus, IEC61850 and IEEE C37.118 will help to simulate various types of attacks on CPSG and to validate the implemented detection algorithm.

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Host organisation: Technical University of Denmark, Denmark
PhD-enrollment: Technical University of Denmark
Secondment: NTNU (2 months), INSEC (2 months), NARI (2 months), UNSW (2 months), CSIRO (2 months)

Research Directors:

Dr. Guangya Yang (gyy@elektro.dtu.dk) (InnoCyPES coordinator)
Mr. Frank Martin (frank.martin@siemensgamesa.com)
Prof. Joe Dong (joe.dong@unsw.edu.au)