SaTC-EDU: EAGER: Big Data and Security: Educating the Next-Generation Security Analysts

SaTC-EDU：EAGER：大数据和安全：教育下一代安全分析师

• 批准号: 1500084
• 负责人: Taesoo Kim
• 金额: $ 30万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1500084&HistoricalAwards=false
• 关键词: SaTC; EDU; EAGER; Big; Data

The project develops a new curriculum to educate next-generation security analysis. The new curriculum attempts to integrate two very distinct areas, data analysis and security. In particular, new labs and projects in existing courses for security are redesigned to make students naturally exposed to learn big data processing techniques with real-world examples. For example, "large-scale malware analytics" will be provided in Information Security Lab (CS6265), and similarly "large-scale static and dynamic analysis" will be provided in "Software Analysis and Testing" (CS 6340) at Georgia Tech. To broaden our efforts, all materials and resources (e.g., new course materials, labs and related tools) will be shared as online training modules publicly available so that the educational communities can adopt the data-driven approach in their education. As a result, the number as well as the quality of security analysts can be vastly increased, and hence our government and industries can be much more effective in securing the cyberspace.

该项目开发了一项新的课程，以教育下一代安全分析。 新课程试图整合两个非常不同的领域，即数据分析和安全性。 特别是，重新设计了现有的安全课程中的新实验室和项目，以使学生自然地接触使用现实世界的大数据处理技术。例如，将在信息安全实验室（CS6265）中提供“大规模恶意软件分析”，类似地，“大规模静态和动态分析”将在“软件分析和测试”（CS 6340）中提供。 为了扩大我们的努力，所有材料和资源（例如，新课程材料，实验室和相关工具）将作为在线培训模块公开共享，以便教育社区可以在其教育中采用数据驱动的方法。 结果，安全分析师的数量和质量可以大大提高，因此我们的政府和行业可以在确保网络空间方面更有效。