Passive User Profiling Using Array of Sustainable Backscatter Tags

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Haoming Wang;Hao Lai;Amus Chee Yuen Goay;Deepak Mishra;Aruna Seneviratne;Eliathamby Ambikairajah
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引用次数: 0

Abstract

Wireless technology is increasingly used for real-time identity verification through active sensors, but traditional biometrics like fingerprint scanning raise privacy concerns due to their invasive nature. To address this, we propose a first-ever Backscatter Communication (BackCom)-based user profiling and commodity RFID height or weight profiling demonstration, using backscatter signals from RFID tags placed in the environment rather than on individuals. These battery-free, energy-harvesting tags offer a sustainable, privacy-preserving method for passive identity recognition. By applying a pre-trained linear machine learning algorithm to the Received Signal Strength Indicator (RSSI) data from RFID tags, we can identify individuals based on the modulation of the backscatter signal caused by their unique physical characteristics. Our system achieves up to 90.2% accuracy in identifying individuals from a set of seven. Additionally, we employ an unsupervised anomaly detection method that combines ResNet-18 feature extraction with Principal Component Analysis (PCA), yielding over 90% overall accuracy in distinguishing between known and unknown subjects.
使用可持续反向散射标签阵列的被动用户分析
无线技术越来越多地用于通过有源传感器进行实时身份验证,但传统的生物识别技术(如指纹扫描)由于其侵入性而引起隐私问题。为了解决这个问题,我们提出了第一个基于反向散射通信(BackCom)的用户分析和商品RFID高度或重量分析演示,使用放置在环境中而不是个人的RFID标签的反向散射信号。这些无电池的能量收集标签为被动身份识别提供了一种可持续的、保护隐私的方法。通过对来自RFID标签的接收信号强度指标(RSSI)数据应用预训练的线性机器学习算法,我们可以根据个体独特的物理特征引起的反向散射信号调制来识别个体。我们的系统在从一组7个人中识别个人方面达到了90.2%的准确率。此外,我们采用了一种无监督的异常检测方法,该方法结合了ResNet-18特征提取和主成分分析(PCA),在区分已知和未知主题方面的总体准确率超过90%。
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来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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