Building Cybersecurity Analytics Capacity in Big Data Era: Developing Hands-on Labs for Integrating Data Science into Cybersecurity Curriculum

建设大数据时代的网络安全分析能力：开发将数据科学融入网络安全课程的实践实验室

• 批准号: 2415022
• 负责人: Daniel Takabi
• 金额: $ 38.34万
• 依托单位: Old Dominion University Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2415022&HistoricalAwards=false
• 关键词: Building; Cybersecurity; Analytics; Capacity; Big

Given the wide-spread use of big data, there is a growing need to develop a cyber-workforce that understands cybersecurity in the context of big data. The goal of this project from the University of North Texas is to integrate data science into cybersecurity curriculum and train the next generation of security experts. The project proposes to have direct and long-term impacts on the growing national need for highly-trained cybersecurity professionals with data analytics capabilities, by increasing the number and quality of cybersecurity analysts. This project aims to develop instructional materials that cater to a wide-range of student learning styles. The materials will be designed so that educators at a wide-range of institutions (e.g., community college to research-intensive institutions), and with varying levels of cybersecurity knowledge, can easily incorporate them into their instruction.The proposed project seeks to develop a set of instructional modules and hands-on labs that make use of state-of-the-art data analytics for addressing different cybersecurity challenges. These instructional modules will follow active learning principles designed to engage students, regardless of learning style, and ensure that students retain the content learned. The modules will be based on real-world security systems and will be designed to systematically cover fundamental security principles. This approach will allow students to get exposure to data analytics techniques and their application to cybersecurity challenges via real-world examples. The project aims to produce engaging materials that could be easily adopted by other educators. To simplify integration and encourage adoption, the hands-on labs will be built based on only open source software and tools that are free to use for educational purposes. Further, they will be distributed via virtual machine images that already contain all libraries and required software to run the labs. This approach for development will allow a variety of instructors to confidently integrate state-of-the-art data analytics labs into curriculum with minimal effort.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

鉴于大数据的广泛使用，越来越需要开发网络工作人员，该网络工人在大数据的背景下了解网络安全。北德克萨斯大学该项目的目标是将数据科学整合到网络安全课程中，并培训下一代安全专家。该项目建议通过增加网络安全分析师的数量和质量，对具有数据分析能力的高度训练网络安全专业人员的国家需求产生直接和长期的影响。该项目旨在开发迎合各种学生学习风格的教学材料。这些材料将被设计为以使各机构的教育者（例如，社区学院至研究密集型机构），并且具有不同水平的网络安全知识，可以轻松地将其纳入他们的教学中。拟议的项目旨在开发一系列的教学模块和动手实验室，以解决问题的挑战，以挑战不同的数据分析。这些教学模块将遵循旨在吸引学生的积极学习原则，无论学习风格如何，并确保学生保留学习的内容。这些模块将基于现实世界的安全系统，并将旨在系统地涵盖基本的安全原则。这种方法将使学生能够通过现实世界中的示例获得数据分析技术及其在网络安全挑战中的应用。该项目旨在生产引人入胜的材料，这些材料可以轻松地被其他教育者采用。为了简化集成和鼓励采用，将仅根据免费用于教育目的的开源软件和工具来构建动手实验室。此外，它们将通过已经包含所有库和所需软件来运行实验室的虚拟机映像进行分发。这种开发方法将使各种讲师能够将最先进的数据分析实验室融入课程中，并以最少的努力整合到课程中。该奖项反映了NSF的法定任务，并且认为值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得支持。