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.

该项目旨在开发一个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实用性。它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。预期成果包括一个新的计算框架作为服务和免费提供的分布式计算模型，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，同时保证数据的进一步利用价值。