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

该项目开发了一个新的课程，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，数据分析和安全。 特别是，对现有安全课程中的新实验室和项目进行了重新设计，使学生自然地接触到学习大数据处理技术的真实例子。例如，信息安全实验室（CS 6265）将提供“大规模恶意软件分析”，格鲁吉亚理工学院的“软件分析和测试”（CS 6340）将提供类似的“大规模静态和动态分析”。 为了扩大我们的努力，所有材料和资源（例如，新的课程材料、实验室和相关工具）将作为公开的在线培训模块共享，以便教育界能够在其教育中采用数据驱动的方法。 因此，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更有效地保护网络空间。

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.