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CAREER: Computational RFID for Securing Zero-Power Pervasive Devices

CAREER: Computational RFID for Securing Zero-Power Pervasive Devices
职业:用于保护零功耗普及设备的计算 RFID
批准号:
0845874
负责人:
Kevin Fu
金额:
$40.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2013-03-31

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中文摘要
翻译
这项研究提高了在零功率设备上安全执行通用计算和通信的知识和能力,这些设备依赖于储存在极小的储存器(如电容器)中收集的能量。计算射频识别(crfid)是一种零功率器件,可收集射频能量并承受持续的电源中断。每秒完全丢失的RAM使得计算检查点的概念成为这种计算模型的基础。一个重要的问题是如何在安全和保护隐私的情况下进行有效的计算和检查点。最根本的问题是:如何在零功耗设备上安全地推进计算的进步?探索利用以能量为中心的计算rfid特性的检查点策略,将为为普及设备设计安全软件和系统奠定坚实的基础。除了安全和隐私之外,该研究还试图发现在资源极度受限的设备上,哪些类型的计算问题可以在实际意义上得到解决。虽然实验集中在计算射频识别上,但许多技术也将广泛应用于电池设备。这项工作的影响将导致在低功耗、不可信的基础设施中提高计算的安全性。预期结果将在安全与隐私和低功耗计算的交叉点公布。潜在的应用包括提高安全性和隐私性(1)植入式医疗设备和(2)嵌入桥梁和道路混凝土组件的传感器。
英文摘要
This research advances the knowledge and capability for securelyperforming general-purpose computation and communication on zero-powerdevices that rely on harvested energy stored in extremely smallreservoirs such as capacitors. A type of zero-power device,computational RFIDs (CRFIDs) harvest RF energy and endure continualinterruptions to power. Complete loss of RAM on the order of everysecond makes the notion of a computational checkpoint fundamental tothis model of computing. A significant problem is how to performeffective computation and checkpoints in a secure andprivacy-preserving manner. The most fundamental question is: how tosecurely make forward progress of computation on zero-power devices?The exploration of checkpointing strategies that exploit theenergy-centric properties of computational RFIDs will lay a solidfoundation for designing secure software and systems for pervasivedevices. Beyond security and privacy, the research seeks to discoverwhat kinds of computational problems can be solved in a practicalsense on extremely resource-constrained devices. While theexperiments focus on computational RFIDs, many of the techniques willapply broadly to devices with batteries as well.The impact of this work will lead to improved security for computationin low-power, untrusted infrastructure. The expected results will bepublished in venues at the intersection of security & privacy andlow-power computation. Potential applications include improvedsecurity and privacy for (1) implantable medical devices and (2)sensors embedded in concrete components of bridges and roads.
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CAREER: Computational RFID for Securing Zero-Power Pervasive Devices
CT-ISG: Improving Security and Privacy in Pervasive Healthcare
国内基金
海外基金
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