TWC TTP: Small: Collaborative: Privacy-Preserving Data Collection and Access for IEEE 802.11s-Based Smart Grid Applications

TWC TTP：小型：协作：基于 IEEE 802.11s 的智能电网应用的隐私保护数据收集和访问

• 批准号: 1318872
• 负责人: Xiuzhen Cheng
• 金额: $ 20.14万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1318872&HistoricalAwards=false
• 关键词: TWC; TTP; Small; Collaborative; Privacy

The modernized Smart Grid (SG) is expected to enable several new applications such as dynamic pricing, demand response and fraud detection; however, collection of such fine-grained data raises privacy issues. This project aims to design and implement several novel mechanisms for securing data collection and communication in SG Advanced Metering Infrastructure applications while preserving user privacy when the data are to be accessed. The underlying communication infrastructure, namely Neighborhood Area Networks, is to be built with wireless mesh networks using the IEEE 802.11s, an IEEE 802.11 amendment for mesh networking. The project investigates user privacy preservation mechanisms using partially and fully homomorphic encryption during data collection in the Neighborhood Area Networks. For the collected data at the data repository, attribute-based access control mechanisms are studied. As part of these access control mechanisms, novel scalable key establishment and group key management schemes are investigated. A testbed consisting of IEEE 802.11 Linux routers is part of the project to assess the overhead of privacy mechanisms under quality of service constraints. The testbed will be a community resource for researchers, educators and students as well as utility companies interested in SG communications and privacy. Ensuring practical user privacy solutions will increase the participation of customers in SG applications saving cost and energy. The testbed will be a great help to utilities, researchers and educators who work on SG communications. The software and technical manuals will be made available as open-source documents. New graduate courses on the Smart Grid will be introduced into the academic curriculum.

现代化的智能电网（SG）预计将实现动态定价、需求响应和欺诈检测等多种新应用；然而，收集此类细粒度数据会引发隐私问题。该项目旨在设计和实施几种新颖的机制，以保护 SG 高级计量基础设施应用中的数据收集和通信，同时在访问数据时保护用户隐私。底层通信基础设施，即邻域网络，将使用 IEEE 802.11s（针对网状网络的 IEEE 802.11 修订案）通过无线网状网络构建。该项目研究在邻域网络中的数据收集过程中使用部分和完全同态加密的用户隐私保护机制。对于数据存储库中收集的数据，研究了基于属性的访问控制机制。作为这些访问控制机制的一部分，研究了新颖的可扩展密钥建立和组密钥管理方案。由 IEEE 802.11 Linux 路由器组成的测试平台是该项目的一部分，用于评估服务质量约束下隐私机制的开销。该测试平台将成为研究人员、教育工作者和学生以及对 SG 通信和隐私感兴趣的公用事业公司的社区资源。 确保实用的用户隐私解决方案将增加客户对 SG 应用程序的参与，从而节省成本和能源。该测试平台将为从事 SG 通信工作的公用事业公司、研究人员和教育工作者提供巨大帮助。软件和技术手册将作为开源文档提供。新的智能电网研究生课程将被引入学术课程中。