The SPEAR consortium is proud to announce that the paper entitled 'Operational Data Based Intrusion Detection System for Smart Grid', authored by G. Efstathopoulos, P. Radoglou-Grammatikis , P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, K. Stamatakis, M. Angelopoulos, and S. Athanasopoulos, won the Best Paper Award in the #IEEE #CAMAD Conference (https://camad2019.ieee-camad.org/)!
The IEEE CAMAD (Computer-Aided Modeling and Design of Communication Links and Networks) is a well-known IEEE Conference, which attracts researchers, scientists, manufacturers, and engineers from all over the world.
The awarded research paper was created by a joined effort of the SPEAR consortium, where industry (Public Power Corporation S.A.), SMEs (0 Infinity Limited, Sidroco Holdings Limited), and academia (University of Western Macedonia) joined their forces for providing a compelling, high-impact, and stemming from real-world data research result in the context of the SPEAR Project.
The awarded paper provides an anomaly-based intrusion detection system, especially designed for the smart grid by utilizing operational data from a real power plant. In particular, many machine learning and deep learning models were deployed, introducing novel parameters and feature representations in a comparative study. The evaluation analysis demonstrated the efficacy of the proposed system in real-world smart grid applications.
You can view and download the paper by visiting the following link: https://www.spear2020.eu/cmsMedia/Uploads/Publications/SPEAR_Awarded_Paper.pdf