RET Site: Applied Data Science for Cyber Security

RET 网站：网络安全应用数据科学

• 批准号: 1801734
• 负责人: Abdul Serwadda
• 金额: $ 60万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-02-15 至 2021-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1801734&HistoricalAwards=false
• 关键词: RET; Site; Applied; Data; Science

This award creates a new Research Experiences for Teachers (RET) Site focused on data science and cybersecurity at the Texas Tech University. Each summer, ten high school science and mathematics teachers will participate in summer research activities with faculty in labs at Texas Tech University. The teachers will be recruited from the area served by the Texas Educational Service Center Region 17, which includes the city of Lubbock and the surrounding rural areas. Cyber security is important for many technical applications as well as for the daily lives of most citizens. Teachers in this site will apply fundamental data science techniques and learn basic cyber security principles while investigating real world problems involving cybersecurity. The participating teachers will translate their research experiences and knowledge into classroom practice by developing instructional modules and course materials that they will introduce in their classrooms and share with other teachers in their school districts. Thus students and teachers should become much more aware of the challenges of cybersecurity and how they can act responsibly and safely in the cyber connected world they live in. These activities all contribute to the formation of a community of practice in partnership with Texas Tech faculty mentors that has the potential to significantly enhance Science/Technology/Engineering/Math (STEM) education in the participating school districts. This award is co-funded by the Secure and Trustworthy Cyberspace (SaTC) program.RET participants will participate in cutting-edge research projects with state-of-the-art data science tools and techniques in cyber security. The teachers will work with a team of experienced faculty from the Department of Computer Science on projects focusing on data science and its application in authentic settings. The teachers will be introduced to the data science pipeline of data collection, feature engineering, data cleaning, and model building, before applying this knowledge to solve problems on a range of topics including biometrics, user authentication, network traffic anomaly detection, and mobile device security and privacy. These projects have the potential to impact the field of cybersecurity itself as well as to bring important topics and techniques to high school teachers and their students.

该奖项创建了一个新的教师研究经验（RET）网站，专注于德克萨斯理工大学的数据科学和网络安全。每年夏天，10名高中科学和数学教师将参加夏季研究活动与教师在实验室在得克萨斯理工大学。 这些教师将从德克萨斯州教育服务中心17区服务的地区招募，其中包括拉伯克市和周边农村地区。 网络安全对于许多技术应用以及大多数公民的日常生活都很重要。本网站的教师将应用基本的数据科学技术，学习基本的网络安全原则，同时调查涉及网络安全的真实的世界问题。 参与的教师将通过开发教学模块和课程材料，将他们的研究经验和知识转化为课堂实践，他们将在课堂上介绍，并与学区的其他教师分享。因此，学生和教师应该更加意识到网络安全的挑战，以及他们如何在他们生活的网络连接世界中负责任地安全行事。这些活动都有助于与德克萨斯理工学院教师导师合作形成一个实践社区，有可能显着提高参与学区的科学/技术/工程/数学（STEM）教育。该奖项由安全和值得信赖的网络空间（SaTC）计划共同资助。RET参与者将使用最先进的数据科学工具和网络安全技术参与尖端研究项目。教师将与计算机科学系经验丰富的教师团队合作，专注于数据科学及其在真实环境中的应用。 教师将介绍数据收集，特征工程，数据清洗和模型构建的数据科学管道，然后应用这些知识解决一系列主题的问题，包括生物识别，用户身份验证，网络流量异常检测，以及移动终端安全和隐私。这些项目有可能影响网络安全领域本身，并为高中教师和学生带来重要的主题和技术。