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A Survey of Techniques for the Identification of Mobile Phones Using the Physical Fingerprints of the Built-In Components

机译:利用内置组件的物理指纹识别手机的技术研究

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In recent years, several research studies have investigated the identification of electronic devices through their physical components and properties, both from a theoretical point of view and through extensive experimental studies. Results have shown that, in many cases, a very high identification accuracy can be obtained by exploiting imperfections and small differences in the electronic components, which are called fingerprints in this context. Part of these studies have focused on a specific category of electronic device, the mobile phone or smartphone, which is usually equipped with components, such as radio frequency front-ends, cameras, micro-electro-mechanical systems, microphones, and speakers that are likely to reveal fingerprints in their digital outputs and then allow the identification of the component and of the mobile phone itself. Keeping the focus on mobile phones, this paper provides a survey of the different techniques for mobile phone identification on the basis of their built-in components. This paper describes the methodology, the classification algorithms, and the types of features that are typically used in literature. Outstanding challenges and research issues are also identified and described, together with an overview of the potential applications of mobile phone fingerprinting. In addition, this paper analyzes the potential privacy risks associated to the tracking of the mobile phone on the basis of its fingerprints and the related mitigation techniques. Finally, it summarizes the main issues and identifies research opportunities and potential future trends for mobile phone fingerprinting.
机译:近年来,从理论的角度和广泛的实验研究来看,一些研究已经通过其物理组件和特性研究了电子设备的识别。结果表明,在许多情况下,通过利用电子部件中的瑕疵和细微差异(在此情况下称为指纹)可以获得非常高的识别精度。这些研究的一部分集中在特定类别的电子设备(移动电话或智能手机)上,这些设备通常配备有射频前端,照相机,微机电系统,麦克风和扬声器等组件。可能会在其数字输出中露出指纹,然后允许识别组件和手机本身。本文将重点放在手机上,以其内置组件为基础,对不同的手机识别技术进行了概述。本文介绍了文献中通常使用的方法,分类算法和功能类型。还确定和描述了突出的挑战和研究问题,并概述了手机指纹识别的潜在应用。此外,本文基于其指纹和相关的缓解技术,分析了与跟踪手机有关的潜在隐私风险。最后,它总结了主要问题并确定了手机指纹识别的研究机会和潜在的未来趋势。

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