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Secure and efficient data extraction for ubiquitous computing applications.

机译:适用于无处不在的计算应用程序的安全高效的数据提取。

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摘要

Ubiquitous computing creates a world where computers have blended seamlessly into our physical environment. In this world, a "computer" is no longer a monitor-and-keyboard setup, but everyday objects such as our clothing and furniture. Unlike current computer systems, most ubiquitous computing systems are built using small, embedded devices with limited computational, storage and communication abilities. A common requirement for many ubiquitous computing applications is to utilize the data from these small devices to perform more complex tasks. For critical applications such as healthcare or medical related applications, there is a need to ensure that only authorized users have timely access to the data found in the small device. In this dissertation, we study the problem of how to securely and efficiently extract data from small devices.;Our research considers two categories of small devices that are commonly used in ubiquitous computing, battery powered sensors and battery free RFID tags. Sensors are more powerful devices equipped with storage and sensing capabilities that are limited by battery power, whereas tags are less powerful devices with limited functionalities, but have the advantage of being operable without battery power. We also consider two types of data access patterns, local and remote access. In local data access, the application will query the tag or the sensor directly for the data, while in remote access, the data is already aggregated at a remote location and the application will query the remote location for the necessary information, The difference between local and remote access is that in local access, the tag or sensor only needs to authenticate the application before releasing the data, but in remote access, the small device may have to perform additional processing to ensure that the data remains secure after being collected. In this dissertation, we present secure and efficient local data access solutions for a single RFID tag, multiple RFID tags, and a single sensor, and remote data access solutions for both RFID tag and sensor.
机译:普适计算创造了一个世界,其中计算机无缝地融合到了我们的物理环境中。在这个世界上,“计算机”不再是显示器和键盘的设置,而是日常物品,例如我们的衣服和家具。与当前的计算机系统不同,大多数无处不在的计算系统都是使用具有有限计算,存储和通信能力的小型嵌入式设备构建的。许多无处不在的计算应用程序的共同要求是利用来自这些小型设备的数据来执行更复杂的任务。对于诸如医疗保健或医疗相关应用之类的关键应用,需要确保只有授权用户才能及时访问小型设备中的数据。本文研究了如何安全有效地从小型设备中提取数据的问题。我们的研究考虑了普适计算中常用的两类小型设备:电池供电的传感器和无电池RFID标签。传感器是功能更强大的设备,具有受电池电源限制的存储和感测功能,而标签是功能有限的功能较弱的设备,但具有无需电池电源即可操作的优势。我们还考虑了两种类型的数据访问模式:本地访问和远程访问。在本地数据访问中,应用程序将直接查询标签或传感器以获取数据,而在远程访问中,数据已在远程位置上聚合,并且应用程序将在远程位置查询必要的信息。远程访问是在本地访问中,标签或传感器仅需要在释放数据之前对应用程序进行身份验证,但是在远程访问中,小型设备可能必须执行其他处理以确保在收集数据后仍保持安全。本文提出了一种针对单个RFID标签,多个RFID标签和一个传感器的安全高效的本地数据访问解决方案,以及针对RFID标签和传感器的远程数据访问解决方案。

著录项

  • 作者

    Tan, Chiu Chiang.;

  • 作者单位

    The College of William and Mary.;

  • 授予单位 The College of William and Mary.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 158 p.
  • 总页数 158
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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