Private searching on streaming data

流数据私人搜索

• 批准号: DP190102835
• 负责人: Prof Xun Yi
• 金额: $ 24.59万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-01-01 至 2023-12-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190102835
• 关键词: Private; searching; streaming; data

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.

本项目旨在为各种互联网搜索类型探索安全和实用的解决方案，并开发一个私人搜索系统的原型，以避免在共享查询请求时损害用户隐私。流数据的搜索允许从巨大的流数据源（例如在线新闻馈送和互联网聊天室）收集有用的信息。针对该问题的当前解决方案效率低下，并且仅限于几种简单的搜索类型，并且容易识别搜索请求者。该项目预计将开发私人搜索工具，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，并可能在澳大利亚反恐和国土防御中得到应用。