NeTS-NOSS: PARIS: A Framework for Privacy Augmented Relaying of Information from Sensors

NetS-NOSS：巴黎：传感器信息隐私增强中继框架

• 批准号: 0435043
• 负责人: Wade Trappe
• 金额: $ 50.03万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0435043&HistoricalAwards=false
• 关键词: NeTS; NOSS; PARIS; Framework; Privacy

Abstract: Providing privacy for sensor networks is an important problem that is complicated by the fact that it is easy for adversaries to observe communications between sensor nodes. A first line of defense for protecting sensor communications is cryptography. However, these methods cannot address the complete spectrum of privacy issues in sensor systems. Specifically, security solutions are inadequate for protecting the privacy of contextual information surrounding a sensor application, such as the source's location, or the time at which a measurement was made, or even the size of sensor data packets.This project investigates the development of a framework for providing three critical types of contextual privacy to sensor communications: source location privacy, temporal privacy, and traffic privacy. The project takes the viewpoint that the existing network stack can be modified to protect privacy while maintaining desirable levels of resource-efficiency. This investigation will enhance the privacy levels achieved through the development of new routing protocols involving the use of directed random walk techniques to obfuscate the data source, the modification of the structure of sensor messages to prevent traffic analysis attacks, the introduction of delay in the delivery of messages to reduce temporal correlation attacks, and the introduction of modifications to physical layer communications and the sensor topology to prevent the localization of a communication source. Through dissemination of the research results in both archival publications and new curricula, this project will advance the development of sensor applications by addressing critical privacy issues before sensor systems become a communal asset.

摘要：为传感器网络提供隐私是一个重要的问题，它很容易观察到传感器节点之间的通信，这一事实很复杂。保护传感器通信的第一道防线是密码学。但是，这些方法无法解决传感器系统中隐私问题的完整范围。具体而言，安全解决方案不足以保护围绕传感器应用程序的上下文信息的隐私，例如源的位置，或进行测量的时间，甚至是传感器数据包的大小。该项目研究了为提供三种关键的上下文隐私与传感器的隐私权：源隐私，范围的隐私权和访问范围的框架开发的开发。该项目认为可以修改现有网络堆栈以保护隐私，同时保持理想的资源效率水平。这项调查将通过开发新的路由协议来提高隐私水平，涉及使用有定向的随机步行技术来混淆数据源，传感器信息的结构的修改，以防止交通分析攻击，引入消息传递的延迟以减少时间相关性攻击，并将其引入实体层交流，以防止实体交流和传感器的定位，以防止沟通的定位。通过分发研究的档案出版物和新课程，该项目将通过在传感器系统成为公共资产之前解决关键隐私问题来推动传感器应用的开发。