Effective integration of human and automated analyses for security testing

安全测试中人工分析和自动分析的有效集成

• 批准号: DE230100473
• 负责人: Dr Van Thuan Pham
• 金额: $ 28.9万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE230100473
• 关键词: Effective; integration; human; automated; analyses

This DECRA project aims to significantly improve the performance of current state-of-the-art automated security testing approaches, enabling them to discover more security bugs in strict time constraints. The key innovation of the project is its novel way to embrace human element to leverage the ingenuity of the developers. This project will help companies improve the security and reliability of their products, thwarting cyberattacks that cost Australian business $29 billion each year. The knowledge from this project will be transferred and integrated into higher education subjects to train the next generations of software developers, who are responsible to build security-critical systems that we all rely on now and in the future.

DECRA项目旨在显著提高当前最先进的自动化安全测试方法的性能，使其能够在严格的时间限制内发现更多的安全漏洞。该项目的关键创新在于它采用新颖的方式来拥抱人类元素，以利用开发人员的独创性。该项目将帮助公司提高其产品的安全性和可靠性，阻止网络攻击，这些攻击每年使澳大利亚企业损失290亿美元。该项目的知识将被转移并整合到高等教育科目中，以培养下一代软件开发人员，他们负责构建我们现在和未来都依赖的安全关键系统。