Evolving privacy and utility in data storage and publishing

数据存储和发布中不断发展的隐私和实用性

• 批准号: DE240100165
• 负责人: Dr Yongfeng Ge
• 金额: $ 30.74万
• 依托单位: Victoria University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100165
• 关键词: Evolving; privacy; utility; data; storage

This project aims to develop a distributed evolutionary computation-based framework to optimize data privacy and utility in distributed database systems. It intends to synchronously solve the conflicting challenges of privacy preservation and utility maintenance in multi-objective, dynamic, and multitasking scenarios. Expected outcomes include a new computation framework as a service and freely available distributed computation models, evolutionary algorithms, and knowledge-transfer strategies. Anticipated benefits include theoretical contributions to artificial intelligence, cyber security, distributed computation, and a service to eliminate data owners’ privacy concerns while guaranteeing the value of data in further utilization.

该项目旨在开发一种基于分布式进化计算的框架，以优化分布式数据库系统中的数据隐私和效用，旨在同步解决多目标、动态和多任务场景中隐私保护和效用维护的冲突挑战。包括新的计算框架即服务和免费的分布式计算模型、进化算法和知识转移策略，预期的好处包括对人工智能、网络安全、分布式计算的理论贡献，以及消除数据所有者隐私问题的服务。保证数据进一步利用的价值。