REU Site: REU Site on Security and Privacy for Mobile Sensing and the Internet of Things

REU 网站：REU 移动传感和物联网安全和隐私网站

• 批准号: 2308741
• 负责人: Alfredo Perez
• 金额: $ 36.45万
• 依托单位: University of Nebraska at Omaha
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-11-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2308741&HistoricalAwards=false
• 关键词: REU; Site; Security; Privacy; Mobile

This Research Experiences for Undergraduates (REU) Site award renews a REU site focused on security for mobile sensing and the Internet of Things (IoT) at Columbus State University. The project will provide 10 undergraduates per summer the opportunity to work with faculty mentors in state-of-the-art research labs on projects in the important area of security and privacy of mobile sensing and IoT systems. Mobile computing and IoT systems and their associated sensing capabilities and applications are pervasive in our society in areas such as home automation, telecommunications, healthcare, public infrastructure, and national defense. Security of these devices and the data that is collected through related applications is an important concern for all citizens. This site will give students an opportunity to explore and delve deeply into an area of computing that is relevant and timely. The students will also participate in a number of professional development activities and field trips that will prepare them for future careers as computing professionals in the field of cybersecurity, an area of critical need for the workforce of the future.The intellectual merit of this project is the potential for the development of new methods, algorithms, and tools to protect the privacy of users in mobile sensing systems and IoT environments. The project is led by an outstanding group of faculty mentors to guide undergraduates in explorations of problems related to security and mobile sensing. The goals of this site are to: increase the number of students from undergraduate institutions with limited access to research opportunities who participate in high quality, faculty-mentored research experiences; to increase the cybersecurity and computer science workforce who protect the U. S. cyberspace through the retention and graduation of the REU students; to develop participants’ skills to conduct research in computer science and cybersecurity; and to implement best-practices during the summer program and throughout the year to support the students’ research and career goals. The site will particularly seek to recruit students from groups under-represented in computing fields. The research projects developed by this site will help improve mobile sensing and IoT systems by collecting and analyzing data and developing new algorithms and protocols to secure these systems in areas related to facial privacy, mobile malware, security and trust in IoT systems, and secure and efficient sensor data storage in distributed ledgers.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.

该本科生研究体验 (REU) 网站奖项更新了哥伦布州立大学专注于移动传感和物联网 (IoT) 安全的 REU 网站。该项目每年夏天将为 10 名本科生提供与该州教师导师一起工作的机会。移动传感和物联网系统的安全和隐私重要领域的最先进的研究实验室移动计算和物联网系统及其相关的传感功能和应用在我们的社会中普遍存在，例如家庭自动化等领域。 、 电信、 医疗保健、这些设备以及通过相关应用程序收集的数据的安全性是所有公民的重要关注点。该网站将为学生提供深入探索和研究相关计算领域的机会。学生还将及时参加一系列专业发展活动和实地考察，为他们未来成为网络安全领域的计算专业人员做好准备，网络安全是未来劳动力迫切需要的领域。该项目的重点是开发新方法、算法和工具来保护该项目由一群优秀的导师领导，指导本科生探索与安全和移动传感相关的问题。该网站的目标是： 增加学生数量。来自获得有限研究机会的本科生，他们参与高质量的、由教员机构指导的研究经验，通过保留和毕业 REU 学生来增加保护美国网络空间的网络安全和计算机科学劳动力；进行计算机科学和网络安全研究；并在暑期课程和全年实施最佳实践，以支持学生的研究和职业目标。该网站将特别寻求从计算机领域代表性不足的群体中招募学生，该网站开发的研究项目将有所帮助。通过收集和分析数据并开发新的算法和协议来改进移动传感和物联网系统，以确保这些系统在面部隐私、移动恶意软件、物联网系统的安全和信任以及分布式账本中安全高效的传感器数据存储相关领域的安全。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。

项目成果

Detecting Mobile Malware Associated With Global Pandemics

检测与全球流行病相关的移动恶意软件

• DOI: 10.1109/mprv.2023.3321218
• 发表时间: 2023-10-01
• 期刊: IEEE Pervasive Computing
• 影响因子: 1.6
• 作者: Alfredo J. Perez;S. Zeadally;David Kingsley Tan
• 通讯作者: David Kingsley Tan

PACE: Providing Authentication through Computational Gait Evaluation with Deep learning

PACE：通过深度学习计算步态评估提供身份验证

• DOI: 10.1145/3565287.3617618
• 发表时间: 2023-10
• 期刊: and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Rodriguez, Jesus;Youn, Jong
• 通讯作者: Youn, Jong

Comparing Classifiers: A Look at Machine-Learning and the Detection of Mobile Malware in COVID-19 Android Mobile Applications

比较分类器：机器学习和 COVID-19 Android 移动应用程序中移动恶意软件的检测

• DOI: 10.1145/3565287.3617629
• 发表时间: 2023-10
• 期刊: and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Johnson, Seth;Donner, Ray;Perez, Alfredo J.
• 通讯作者: Perez, Alfredo J.

Exploring the Potential of Frama-C in IoT Static Analysis

探索 Frama-C 在物联网静态分析中的潜力

• DOI: 10.1145/3565287.3617617
• 发表时间: 2023-10
• 期刊: and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Tran, Minh Le;King, William;Siy, Harvey
• 通讯作者: Siy, Harvey