Data analytics for device identification

该研究项目旨在探索在便携式电子设备上应用认证的保护设备时的自动识别，而不需要对保护设备和电子设备进行任何物理修改。这分为两个研究目标：1)保护装置识别，即确定未知保护装置的身份，以及2)保护装置认证(又名，验证)，其中用户声称在电子设备上应用了具有特定身份的保护装置。在本申请中提出的建议中，我们的工作重点与众不同，因为它侧重于识别便携式电子设备上的经认证的保护装置，并且主要面向对保护装置的规范化。与现有技术相比，这是非常有利的，因为它是全面的：它不仅限于那些为了我们的保护设备认可目标而接受改变其生产线的保护设备制造商。此外，它还节省了生产保护用具的时间和精力。该项目将受益于应用机器学习领域的技术，以提取感知信号并对经认证的便携式电子设备的保护装置进行分类。

This research project intends to explore automatic recognition of certified protective apparatus while appliedon a portable electronic device without any physical modification on neither protective apparatus nor electronicdevice. This falls into two research objectives: 1) Protective apparatus identification, i.e. to determine anunknown protective apparatus's identity, and, 2) Protective apparatus authentication (aka, verification) wherethe user claims that a protective apparatus with a certain identity is applied on the electronic device. The focusof our work in the proposal put forth in this application distinguishes itself as it focuses on the recognition ofthe certified protective apparatus on the portable electronic device and is primarily geared towards nomodification to the protective apparatus. This is extremely advantageous compared to the prior arts as it iscomprehensive: it is not limited to those protective apparatus manufacturers that accept to alter theirproduction lines for our protective apparatus recognition goal. Further, it saves time and effort in protectiveapparatus production. The project will benefit from techniques in the applied machine learning domain toextract sensory signals and perform classification on the certified protective apparatus of portable electronicdevices.