CIARRES
Cybersecurity and Artificial Intelligence for a more resilient Smart Grid
Researchers
- Pastrana, Sergio (PI)
- Alonso, Mónica
- Amarís, Hortensia
- Tapiador, Juan
- Sande, Javier
Abstract
The electric supply is an essential and strategic service, and therefore a critical infrastructure that must be adequately protected. The incorporation of ICT in new smart electrical grids (Smart Grids) allows for real-time control of the electric supply, facilitates the integration of new elements such as distributed generation and electric vehicles, and provides improvements in demand management. However, the exposure of the Smart Grid in cyberspace opens up a spectrum of new threats, and there are numerous incidents reported in electrical networks due to cyberattacks that result in the interruption of an essential service for society and the economy.
The main objective of the CIARRES project is to improve the resilience and robustness of Smart Grids against cyberattacks by designing prevention, detection, and mitigation mechanisms that consider the current capabilities of adversaries. To achieve this, three distinct objectives are addressed:
- Analysis of the current level of cyber threat in Smart Grids.
- Modeling of cyber-physical systems and adversaries.
- Design of detection and mitigation mechanisms. Cyber defense mechanisms will be designed using machine learning techniques such as Deep Learning.
Publications
Moreno, José Miguel; Pastrana, Sergio; Reelfs, Jens Helge; Vallina, Pelayo; Zannettou, Savvas; Panchenko, Andriy; Smaragdakis, Georgios; Hohlfeld, Oliver; Vallina-Rodriguez, Narseo; Tapiador, Juan. Reviewing War: Unconventional User Reviews as a Side Channel to Circumvent Information Controls. Proceedings of the 2024 AAAI International Conference on Web and Social Media (ICWSM). AAAI.
Sande Ríos, Javier; Canal Sánchez, Jesús; Manzano Hernández, Carmen; Pastrana, Sergio. Threat analysis and adversarial model for Smart Grids. 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE.
Hughes, Jack; Pastrana, Sergio; Hutchings, Alice; Afroz, Sadia; Samtani, Sagar; Li, Weifeng; Santana Marin, Ericsson. The Art of Cybercrime Community Research. ACM Computing Surveys. ACM.
Leal Díaz, Sònia; Pastrana, Sergio; Nadeem, Azqa. Critical Path Prioritization Dashboard for Alert-driven Attack Graphs. Conference on Applied Machine Learning in Information Security (CAMLIS).
Turanzas, Jaime;
Alonso, Mónica;
Amarís, Hortensia;
Gutierrez, Josué;
Pastrana, Sergio.
Supervised machine learning for false data injection detection: accuracy sensitivity.
27th International Conference on Electricity Distribution (CIRED 2023).
IET.
