Private searching on streaming data

本计划旨在为不同的互联网搜索类型探索安全而实用的解决方案，并开发一个私人搜索系统的原型，以避免在分享查询要求时损害用户的隐私。搜索流数据可以从海量流数据源（如在线新闻源和互联网聊天室）中收集有用的信息。目前针对该问题的解决方案效率低下，而且仅限于几种简单的搜索类型，而且容易识别搜索请求者。该项目希望开发私人搜索工具，以保护用户搜索查询的隐私。这将有可能检测到对我们的数字基础设施的任何攻击，同时保持搜索标准的机密性，并可能在澳大利亚的反恐和国土防御中得到应用。

This project aims to explore secure and practical solutions for various internet search types and to develop a prototype of a private searching system to avoid compromising user privacy whilst sharing query requests. Searching of streaming data allows collection of useful information from huge streaming sources of data such as on-line news feeds and internet chat-rooms. Current solutions for this problem are inefficient and restricted to a couple of simple search types, and vulnerable to identifying the search requester. The project expects to develop private searching tools to protect the privacy of user's search queries. This will have the potential to detect any attacks to our digital infrastructure while keeping the search criteria classified, and could have applications in Australian counter-terrorism and homeland defence.