REU Site: Enhancing Undergraduate Experiences in Mobile Cloud and Data Security

REU 网站：增强本科生在移动云和数据安全方面的经验

• 批准号: 1852105
• 负责人: Feng Li
• 金额: $ 36万
• 依托单位: Indiana 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: 2018-12-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852105&HistoricalAwards=false
• 关键词: REU; Site; Enhancing; Undergraduate; Experiences

This Research Experiences for Undergraduates (REU) Site award provides funding for the renewal of an outstanding REU site at Indiana University - Purdue University Indianapolis. The site will recruit undergraduates from across the nation to participate in research topics related to cybersecurity, mobile cloud security, and data security and privacy. The research projects focus on issues related to the use of mobile devices such as smart phones and the secure use of mobile clouds to access, manage, store, and secure digital assets. Mobile cloud security is an area of current interest that is well-suited to undergraduate research productivity. The students will use controlled and competitive test environments to experiment with cyber-attack and defense techniques needed to secure the mobile devices that are pervasive in our society. This site should help develop a group of computing professionals who can develop the systems of the future that impact society and enhance our quality of life. The REU experience provides students with the foundations and inspiration to pursue computing careers and research in areas that are rapidly evolving and impacting all of our citizens. This project is led by an outstanding team offering state-of-the art facilities and professional mentors to guide undergraduates in explorations of cutting-edge problems related to mobile cloud security. Students will learn how to use current tools and techniques to solve those problems that have direct impact on people. The team will use proven strategies to recruit undergraduate students from groups traditionally under-represented in computer science including African American, Hispanic and female students. The students will participate in research and professional development activities all designed to achieve the goals of retaining and graduating undergraduate students in computer science and engineering, recruiting students from groups traditionally under-represented in computing fields, and increasing recruitment of students into graduate programs.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.

这项本科生研究经验（REU）站点奖为印第安纳大学-普渡大学印第安纳波利斯分校一个杰出的REU站点的更新提供资金。该网站将招募来自全国各地的大学生，参与与网络安全、移动云安全、数据安全和隐私相关的研究课题。研究项目的重点是与使用移动设备（如智能手机）和安全使用移动云访问、管理、存储和保护数字资产相关的问题。移动云安全是当前关注的一个领域，非常适合本科研究生产力。学生们将使用受控和竞争的测试环境来实验网络攻击和防御技术，以保护我们社会中普遍存在的移动设备。这个网站应该帮助开发一组计算机专业人员，他们可以开发影响社会和提高我们生活质量的未来系统。REU的经验为学生提供了基础和灵感，以追求计算机事业和研究领域的迅速发展和影响我们所有的公民。该项目由一个优秀的团队领导，提供最先进的设施和专业的导师，指导本科生探索与移动云安全相关的前沿问题。学生将学习如何使用当前的工具和技术来解决那些对人们有直接影响的问题。该团队将使用经过验证的策略，从传统上在计算机科学领域代表性不足的群体中招募本科生，包括非洲裔美国人、西班牙裔和女学生。学生将参与研究和专业发展活动，所有这些活动都旨在实现留住和毕业计算机科学和工程专业的本科生，从传统上在计算机领域代表性不足的群体中招募学生，并增加研究生课程的学生招募。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Learning Discriminative Features for Adversarial Robustness

学习对抗鲁棒性的判别特征

• DOI: 10.1109/msn53354.2021.00055
• 发表时间: 2021
• 期刊: Sensing and Networking (MSN 2021
• 作者: Hosler, Ryan;Phillips, Tyler;Yu, Xiaoyuan;Sundar, Agnideven;Zou, Xukai;Li, Feng
• 通讯作者: Li, Feng

Evaluating the Impact of Noisy Point Clouds on Wireless Gesture Recognition Systems

• DOI: 10.1145/3565287.3617626
• 发表时间: 2023-10
• 期刊: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Paul Jiang;Ellie Fassman;Amit Singha;Yimin Chen;Tao Li

Advancing Active Authentication for User Privacy and Revocability with BioCapsules

利用 BioCapsules 推进用户隐私和可撤销性的主动身份验证

• DOI: 10.1145/3565287.3617624
• 发表时间: 2023
• 期刊: ACM
• 作者: Sanchez, Edwin Antonio;Weyer, Anthony;Palackal, Joseph;Wang, Kai;Phillips, Tyler;Zou, Xukai
• 通讯作者: Zou, Xukai

Sorting Ransomware from Malware Utilizing Machine Learning Methods with Dynamic Analysis

利用机器学习方法和动态分析对勒索软件和恶意软件进行分类

• DOI: 10.1145/3565287.3617632
• 发表时间: 2023
• 期刊: ACM
• 作者: Schoenbachler, Joshua;Krishnan, Vinay;Agarwal, Garvit;Li, Feng
• 通讯作者: Li, Feng

An Adaptive Plug-and-Play (PnP) Interactive Platform for an E-Voting based Cybersecurity Curricula

用于基于电子投票的网络安全课程的自适应即插即用 (PnP) 交互平台

• 发表时间: 2023
• 期刊: IFIP International Symposium on Human Aspects of Information Security & Assurance (HAISA'23
• 作者: Muwei Zheng, Nathan Swearingen