| Title | Cross-Layered Cyber-Physical Power System State Estimation towards a Secure Grid Operation |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Aljohani, Nader, Agnew, Dennis, Nagaraj, Keerthiraj, Boamah, Sharon A., Mathieu, Reynold, Bretas, Arturo S., McNair, Janise, Zare, Alina |
| Conference Name | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| Keywords | Communication networks, composability, compositionality, Cross layer design, Cross Layer Security, cross-layered, cyber security, Cyber-physical systems, denial-of-service attack, machine learning, Network security, Power systems, pubcrawl, Real-time Systems, resilience, Resiliency, Smart grids, software packages, Synchronization |
| Abstract | In the Smart Grid paradigm, this critical infrastructure operation is increasingly exposed to cyber-threats due to the increased dependency on communication networks. An adversary can launch an attack on a power grid operation through False Data Injection into system measurements and/or through attacks on the communication network, such as flooding the communication channels with unnecessary data or intercepting messages. A cross-layered strategy that combines power grid data, communication grid monitoring and Machine Learning-based processing is a promising solution for detecting cyber-threats. In this paper, an implementation of an integrated solution of a cross-layer framework is presented. The advantage of such a framework is the augmentation of valuable data that enhances the detection of anomalies in the operation of power grid. IEEE 118-bus system is built in Simulink to provide a power grid testing environment and communication network data is emulated using SimComponents. The performance of the framework is investigated under various FDI and communication attacks. |
| DOI | 10.1109/PESGM48719.2022.9916756 |
| Citation Key | aljohani_cross-layered_2022 |
Cross-Layered Cyber-Physical Power System State Estimation towards a Secure Grid Operation