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保护是一个重要的问题，但由于攻击者很容易观察到传感器节点之间的通信，这一问题变得更加复杂。保护传感器通信的第一道防线是密码学。然而，这些方法不能解决传感器系统中隐私问题的全部范围。具体来说，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、进行测量的时间，甚至传感器数据包的大小。该项目研究了一个框架的发展，该框架为传感器通信提供三种关键类型的上下文隐私：源位置隐私、时间隐私和流量隐私。该项目的观点是，可以修改现有的网络堆栈，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，这些协议涉及使用定向随机行走技术来混淆数据源，修改传感器消息的结构以防止流量分析攻击，在消息传递中引入延迟以减少时间相关攻击，并引入物理层通信和传感器拓扑的修改，以防止通信源的定位。通过在档案出版物和新课程中传播研究成果，该项目将在传感器系统成为公共资产之前解决关键的隐私问题，从而促进传感器应用的发展。