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

摘要：为传感器网络提供隐私是一个重要的问题，由于对手很容易观察传感器节点之间的通信而变得复杂。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的完整的隐私问题。具体来说，安全解决方案是不足以保护周围的传感器应用程序的上下文信息的隐私，如源的位置，或测量的时间，甚至传感器数据packets.This项目的大小调查的框架的发展提供三个关键类型的上下文隐私传感器通信：源位置隐私，时间隐私和交通隐私。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。这项调查将提高通过开发新的路由协议实现的隐私水平，该协议涉及使用定向随机游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，在消息的传递中引入延迟以减少时间相关攻击，以及引入对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，从而推动传感器应用的发展。

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.