ArticleSensors (Basel, Switzerland)2023
Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Anomaly-Based Intrusion Detection for IoT Microcontrollers Using Power Side-Channel Fingerprinting.Sensors (Basel, Switzerland) · 2026Article
- Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
2 authors.
Funding
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Abstract
One possible device authentication method is based on device fingerprints, such as software- or hardware-based unique characteristics. In this paper, we propose a fingerprinting technique based on passive externally measured information, i.e., current consumption from the electrical network. The key insight is that small hardware discrepancies naturally exist even between same-electrical-circuit devices, making it feasible to identify slight variations in the consumed current under steady-state conditions. An experimental database of current consumption signals of two similar groups containing 20 same-model computer displays was collected. The resulting signals were classified using various state-of-the-art time-series classification (TSC) methods. We successfully identified 40 similar (same-model) electrical devices with about 94% precision, while most errors were concentrated in confusion between a small number of devices. A simplified empirical wavelet transform (EWT) paired with a linear discriminant analysis (LDA) classifier was shown to be the recommended classification method.
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