Data analytics for device identification

本研究计划旨在探索自动识别认证的防护设备，同时应用于便携式电子设备，而无需对防护设备或电子设备进行任何物理修改。这福尔斯分为两个研究目标：1）保护装置识别，即确定未知的保护装置的身份，以及2）保护装置认证（aka，验证），其中用户声称具有特定身份的保护装置被应用在电子设备上。我们在本申请中提出的建议中的工作的重点在于其专注于便携式电子设备上的认证保护装置的识别，并且主要面向保护装置的规范化修改。与现有技术相比，这是非常有利的，因为它是全面的：它不限于那些为了我们的保护装置识别目标而接受改变他们的生产线的保护装置制造商.此外，它还节省了保护装置生产的时间和精力。该项目将受益于应用机器学习领域的技术，以提取传感信号并对便携式电子设备的认证保护装置进行分类。

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.