Efficient and secure data integrity auditing on cloud

云端高效、安全的数据完整性审计

• 批准号: DP230100991
• 负责人: Prof Jinjun Chen
• 金额: $ 33.93万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 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/DP230100991
• 关键词: Efficient; secure; data; integrity; auditing

Data auditing presents a promising way for verifying user data integrity on cloud, i.e., whether user privacy sensitive data such as identity information on cloud is modified or lost. Current auditing approaches lack sufficient efficiency and security. This results in that they cannot provide timely warning and precaution on potential data loss threats. This project aims to systematically investigate this significant challenge and expects to establish innovative research and solutions for enabling efficient and secure data integrity auditing on cloud. The project outcomes will help to safeguard Australian community in fast-growing cyber world, and benefit to fast-growing user privacy sensitive data hosting and applications on cloud.

数据审计为验证云上的用户数据完整性提供了一种很有前途的方法，即，云上的用户隐私敏感数据（例如身份信息）是否被修改或丢失。目前的审计方法缺乏足够的效率和安全性。这导致他们无法对潜在的数据丢失威胁提供及时的警告和预防。该项目旨在系统地调查这一重大挑战，并期望建立创新的研究和解决方案，以实现高效和安全的云数据完整性审计。该项目的成果将有助于在快速增长的网络世界中保护澳大利亚社区，并有利于快速增长的用户隐私敏感数据托管和云应用程序。