@inproceedings{6c2eafe0c4ec42e493c1eff567651c90,
title = "Electrical Equipment Fingerprinting with Electrical Network Current Consumption",
abstract = "With the widespread use of electrical devices, device authentication and discrimination have received much attention. One of the possible device authentication methods is based on device fingerprints, such as software- or hardware-based characteristics. In this paper we propose a fingerprinting technique based on externally measured information, i.e. current consumption from the electrical network. The key insight is that hardware discrepancies naturally exist between same-model devices, making it feasible to identify small variations in the consumed current. We have successfully fingerprinted and identified five same-model electrical devices with 100% precision. Further research should be undertaken to investigate the current-consumption-based device fingerprinting and authentication.",
keywords = "classification, consumption analysis, electrical device, electrical network, fingerprinting",
author = "Mikhail Ronkin and Dima Bykhovsky",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 45th International Conference on Telecommunications and Signal Processing, TSP 2022 ; Conference date: 13-07-2022 Through 15-07-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/TSP55681.2022.9851296",
language = "English",
series = "2022 45th International Conference on Telecommunications and Signal Processing, TSP 2022",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "79--82",
editor = "Norbert Herencsar",
booktitle = "2022 45th International Conference on Telecommunications and Signal Processing, TSP 2022",
address = "United States",
}