Просмотреть запись

Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption

Электронный научный архив УРФУ

Информация об архиве | Просмотр оригинала
 
 
Поле Значение
 
Заглавие Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption
 
Автор Ronkin, M.
Bykhovsky, D.
 
Тематика CONSUMPTION ANALYSIS
CURRENT MEASUREMENT
DEVICE FINGERPRINTING
ELECTRICAL DEVICE
ELECTRICAL NETWORK
SWITCHED-MODE POWER SUPPLY (SMPS)
TIME-SERIES CLASSIFICATION (TSC)
COMPUTER HARDWARE
ELECTRIC NETWORK PARAMETERS
TIME SERIES
TIME SERIES ANALYSIS
WAVELET TRANSFORMS
CLASSIFICATION METHODS
CONSUMPTION ANALYSE
CURRENT CONSUMPTION
DEVICE FINGERPRINTING
ELECTRICAL DEVICES
ELECTRICAL NETWORKS
PASSIVE FINGERPRINTING
SWITCHED-MODE POWER SUPPLY
TIME SERIES CLASSIFICATIONS
TIME-SERIES CLASSIFICATION
DISCRIMINANT ANALYSIS
ELECTRICITY
WAVELET ANALYSIS
ELECTRICITY
WAVELET ANALYSIS
 
Описание 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. © 2023 by the authors.
 
Дата 2024-04-05T16:25:38Z
2024-04-05T16:25:38Z
2023
 
Тип Article
Journal article (info:eu-repo/semantics/article)
|info:eu-repo/semantics/publishedVersion
 
Идентификатор Ronkin, M & Bykhovsky, D 2023, 'Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption', Sensors, Том. 23, № 1, 533. https://doi.org/10.3390/s23010533
Ronkin, M., & Bykhovsky, D. (2023). Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption. Sensors, 23(1), [533]. https://doi.org/10.3390/s23010533
1424-8220
Final
All Open Access, Gold, Green
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145881369&doi=10.3390%2fs23010533&partnerID=40&md5=01e261a8d43b974cb440200299d90fa5
https://www.mdpi.com/1424-8220/23/1/533/pdf?version=1672735879
http://elar.urfu.ru/handle/10995/130548
10.3390/s23010533
85145881369
000908708600001
 
Язык en
 
Права Open access (info:eu-repo/semantics/openAccess)
cc-by
https://creativecommons.org/licenses/by/4.0/
 
Формат application/pdf
 
Издатель MDPI
 
Источник Sensors
Sensors