RF-TESI: Radio Frequency Fingerprint-based Smartphone Identification under Temperature Variation
Article No.: 41, Pages 1 - 21
Abstract
Radio frequency fingerprint identification (RFFI) is a promising technique for smartphone identification. However, we find that the temperature of the RF front end in smartphones can significantly impact the RF features, including the carrier frequency offset (CFO) and statistical RF features. The unstable RF features caused by temperature changes can negatively affect the performance of state-of-the-art RFFI approaches. To this end, we propose the RF-TESI solution for smartphone identification under temperature variation. First, we construct a dataset by extracting temperature and RF features. In the dataset, the extracted temperature values constitute a set of temperature values and each registered temperature value corresponds to a group of RF features. Next, we evaluate the distinctiveness of RF features across smartphones to select the most suitable RF fingerprint. Then, we train multiple random forest models, each tagged with a registered temperature. In addition, because there are still many temperatures out of the temperature set, we design an RF fingerprint estimation method to estimate RF fingerprints at unregistered temperatures. Finally, the experiments show RF-TESI demonstrates satisfactory performance under different scenarios, taking into account variations in temperature, time and position. Besides, our proposed approach is better than all state-of-the-art approaches in smartphone identification.
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Index Terms
- RF-TESI: Radio Frequency Fingerprint-based Smartphone Identification under Temperature Variation
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Publication History
Published: 10 January 2024
Online AM: 07 December 2023
Accepted: 01 December 2023
Revised: 25 August 2023
Received: 25 April 2023
Published in TOSN Volume 20, Issue 2
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- National Natural Science Foundation of China
- Key R&D Program of Jiangsu Province
- Jiangsu Provincial Key Laboratory of Network and Information Security
- Key Laboratory of Computer Network and Information Integration of the Ministry of Education of China
- Fundamental Research Funds for the Central Universities
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