A comprehensive dataset from a smart grid testbed for machine learning based CPS security research

Ahmed, Chuadhry Mujeeb and Kandasamy, Nandha Kumar; Abie, Habtamu and Ranise, Silvio and Verderame, Luca and Cambiaso, Enrico and Ugarelli, Rita and Giunta, Gabriele and Praça, Isabel and Battisti, Federica, eds. (2021) A comprehensive dataset from a smart grid testbed for machine learning based CPS security research. In: Cyber-Physical Security for Critical Infrastructures Protection - 1st International Workshop, CPS4CIP 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12618 . Springer, GBR, pp. 123-135. ISBN 9783030697815 (https://doi.org/10.1007/978-3-030-69781-5_9)

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Abstract

Data-sets play a crucial role in advancing the research. However, getting access to real-world data becomes difficult when it comes to critical infrastructures and more so if that data is being acquired for security research. In this work, a comprehensive dataset from a real-world smart electric grid testbed is collected and shared with the research community. A few of the unique features of the dataset and testbed are highlighted.

ORCID iDs

Ahmed, Chuadhry Mujeeb ORCID logoORCID: https://orcid.org/0000-0003-3644-0465 and Kandasamy, Nandha Kumar; Abie, Habtamu, Ranise, Silvio, Verderame, Luca, Cambiaso, Enrico, Ugarelli, Rita, Giunta, Gabriele, Praça, Isabel and Battisti, Federica
CORE (COnnecting REpositories)