Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares

防止恶意内部人员或恶意软件泄露敏感数据

• 批准号: DP240101032
• 负责人: Prof Zahir Tari
• 金额: $ 35.49万
• 依托单位: RMIT University
• 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/DP240101032
• 关键词: Preventing; Exfiltration; Sensitive; Data; Malicious

Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods and efficient algorithms that will be able to prevent real-time exfiltration and identify previously undetected exfiltration of sensitive data. This should provide significant benefits to governments, defence networks as well as businesses and health sectors, as it will protect them from sophisticated cyber attacks.

数据泄露是一种严重的威胁，最近发生的敏感数据泄露事件造成了巨大的经济损失，也对国家安全造成了前所未有的威胁。该项目的目的是开发一个全面而强大的解决方案，用于检测和预防恶意软件和未经授权的人类用户的敏感数据泄露企图。预期的结果包括可扩展的监控方法和有效的算法，这些算法将能够防止实时泄漏，并识别以前未检测到的敏感数据泄漏。这将为政府、国防网络、企业和卫生部门带来重大好处，因为它将保护它们免受复杂的网络攻击。