NeTS-NOSS: Privacy-Preserving Sensor Networks

NeTS-NOSS：隐私保护传感器网络

• 批准号: 0721443
• 负责人: Qun Li
• 金额: --
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721443&HistoricalAwards=false
• 关键词: NeTS; NOSS; Privacy; Preserving; Sensor

Sensor networks will be deployed everywhere around us, e.g., in offices and residential houses. There are many concerns related to privacy in this scenario because people and their activities will be monitored all the time. For example, data collected for temperature monitoring in an office should not be used to imply the presence of a person, which is a private information; unauthorized person should not be allowed to access the sensed data that is privacy-sensitive. To make the sensor network deployment more realistic in our daily life, it is imperative to consider the privacy concerns in sensor networks. This project aims to build a privacy-preserving infrastructure for sensor networks. It considers the privacy breaches due to the information leakage to (1) untrusted sensor networks, (2) untrusted users, and (3) outside observers. In the context of the three adversary models, this project focuses on the most important operations in sensor networks: data query, data sharing, and data routing. Specifically, the problems addressed in the project include how to store data or aggregate data so that data query can be responded in a privacy-preserving fashion, how to provide security primitives to prevent unauthorized users from accessing collected data, and how to design routing algorithms to preserve location privacy. The research conducted in this project is expected to deepen our understanding in building a privacy preserving sensor network, and provide a realistic implementation suite for security and privacy support for sensor networks.

传感器网络将部署在我们周围的任何地方，例如， 在办公室和住宅。在这种情况下，有许多与隐私有关的问题，因为人们及其活动将一直受到监视。例如，在办公室中为温度监测收集的数据不应用于暗示人的存在，这是私人信息;不应允许未经授权的人访问隐私敏感的感测数据。为了使传感器网络的部署更加现实，在我们的日常生活中，有必要考虑传感器网络中的隐私问题。该项目旨在为传感器网络构建一个隐私保护基础设施。它考虑了由于信息泄漏到（1）不可信的传感器网络，（2）不可信的用户和（3）外部观察者而导致的隐私泄露。在这三种攻击模型的背景下，本项目重点研究了传感器网络中最重要的操作：数据查询、数据共享和数据路由。具体而言，在该项目中解决的问题包括如何存储数据或聚合数据，使数据查询可以响应在一个隐私保护的方式，如何提供安全原语，以防止未经授权的用户访问收集的数据，以及如何设计路由算法，以保护位置隐私。本项目的研究将加深我们对构建隐私保护传感器网络的理解，并为传感器网络的安全和隐私支持提供一个现实的实现套件。