Personalised Privacy-Preserving Network Data Publishing System

个性化隐私保护网络数据发布系统

• 批准号: LP220200746
• 负责人: Prof Hua Wang
• 金额: $ 24.57万
• 依托单位: Victoria University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP220200746
• 关键词: Personalised; Privacy; Preserving; Network; Data

Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.

数据共享已成为工业领域许多企业的推动力。本项目旨在开发一个隐私保护网络数据发布系统，在保持发布数据最大效用的同时，以个性化的方式保护用户隐私。为了实现准确的隐私保护，本项目将设计新颖的学习模型来获得准确的用户相关性和隐私意图，开发高效的隐私保护算法来处理静态和动态的网络数据共享。该项目的成功将使许多行业和政府机构受益，减少用户隐私泄露，避免共享数据的非法后果，并提高这些服务提供商的服务质量。