REU Site: Research on Security of Mobile Devices and Wireless Networks at New York Institute of Technology

该奖项在纽约理工学院(NYIT)建立了一个新的REU网站，专注于移动设备的安全。本科生将在以下方面获得实践研究经验：模拟恶意软件在移动设备上的传播，实施密码算法和身份验证方案，研究无线网络的拓扑控制，对智能手机进行地理定位，检测对移动设备网络的物理攻击，以及开发使用移动设备保护隐私的传感方法。学生们将在暑假期间与经验丰富的教师团队一起在纽约理工大学校园的实验室工作。该项目包括针对学生的职业发展活动和与行业的接触。这个项目是由数字基础设施办公室共同资助的。智力上的优点：这个项目的智力上的优点集中在及时和国家关注的研究主题上。这些学生将在最先进的实验室中与一群经验丰富的研究人员合作，研究与网络信任研究社区最新和相关的主题。这些研究经验旨在为本科生成为研究人员奠定坚实的基础，并激励他们攻读计算机科学和工程方面的研究生课程。广泛的影响：该项目将提供高要求的科学、技术、工程和数学(STEM)领域的实践研究经验。项目组致力于为这些研究机会招募妇女和代表性不足的少数族裔学生，并留住他们在与科学、技术和经济研究有关的学术和专业能力方面。参与者将与教职员工、研究生和其他本科生在由不同种族背景的个人组成的研究团队中合作。因此，这个项目有可能产生新的计算机科学研究生和教职员工，并在促进学习的同时促进发现和理解。

The award establishes a new REU Site focused on the security of mobile devices at New York Institute of Technology (NYIT). Undergraduates will gain hands-on research experiences in simulating the spread of malware on mobile devices, implementing cryptographic algorithms and authentication schemes studying topology control of wireless networks, geolocating smartphones, detecting physical attacks on a network of mobile devices, and developing privacy protected sensing methods using mobile devices. Students will work during the summer with a team of experienced faculty in labs on the NYIT campus. The project includes professional development activities for students and engagement with industry. This project is co-funded by the Office of Cyberinfrastructure.Intellectual Merit: The intellectual merit of the project is focused on the research topic which is timely and of national concern. The students will work with a team of experienced researchers in state-of-the art labs on topics that are current and relevant to the cyber trust research community. These research experiences are aimed at building a strong background for undergraduates to become researchers and motivate them to pursue graduate studies in computer science and engineering.Broader Impacts: This project will provide hands-on research experiences in a high-demand science, technology, engineering, and mathematics (STEM) field. The project team is committed to recruiting women and underrepresented minority students for these research opportunities and to retaining them in academic and professional capacities related to STEM. Participants will collaborate with faculty, graduate students and fellow undergraduates in research teams comprised of individuals of diverse ethnic backgrounds. Thus this project has the potential to produce new computer science graduate students and faculty members and to advance discovery and understanding while promoting learning.