Secure and efficient data leak prevention on cloud

云端安全高效防数据泄露

• 批准号: LP180100758
• 负责人: Prof Jinjun Chen
• 金额: $ 37.92万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-10-11 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100758
• 关键词: Secure; efficient; data; leak; prevention

The leak of sensitive data on cloud not only poses serious threats to both public and private organisations but also puts their employees and clients at risk, e.g., economic loss and social impact. The aim of this project is to develop a secure and efficient solution that can detect and prevent leak of data in real-time. Uniquely, the proposed research will develop novel techniques that can monitor data leak security incidents happening over time and captured by different sensors and identify correlations between historic security incidents and current data attacks. This project will significantly help to secure data on cloud for organisations in Australia and benefit fast-growing security sensitive data hosting and applications on cloud.

敏感数据在云上的泄露不仅对公共和私人组织构成严重威胁，还会将其员工和客户置于风险之中，例如经济损失和社会影响。该项目的目的是开发一种安全高效的解决方案，能够实时检测和防止数据泄漏。独一无二的是，拟议的研究将开发新的技术，可以监控随着时间的推移发生的数据泄漏安全事件，并由不同的传感器捕获，并识别历史安全事件和当前数据攻击之间的关联。该项目将极大地帮助澳大利亚的组织保护云上的数据，并使云上快速增长的安全敏感数据托管和应用程序受益。