In Smart Grid a customer’s privacy is threatened by the fact that an attacker could deduce personal habits from the detailed consumption data. We analysed the publications in this field of research and found out that privacy does not seem to be the main focus. To verify this guess, we analysed it with the technique of directed graphs. This indicates that privacy isn’t yet sufficiently investigated in the Smart Grid context. Hence we suggest a decentralised IDS based on NILM technology to protect customer’s privacy. Thereby we would like to initiate a discussion about this idea.
CITATION STYLE
Richthammer, H., & Reif, S. (2016). Intrusion detection in the smart grid based on an analogue technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9591, pp. 56–67). Springer Verlag. https://doi.org/10.1007/978-3-319-39028-4_5
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