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NSF Research Experiences for Undergraduates (REU)Cybersecurity

Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment

Cybersecurity is a priority area of national need. As a multidisciplinary field, cybersecurity requires that the professionals have knowledge and skills in various disciplines. The REU site program offers unique multidisciplinary learning and research opportunities for undergraduate students in an inherently multidisciplinary cybersecurity discipline. Each student will be able to select his/her preferred mentor and work with the mentor to select an REU research project based on his/her interests and background. The students will master research methodologies and obtain valuable research experiences in an area of critical national need, and also better prepare for graduate studies. The REU program is also enriched through various seminars, social activities, and field trips to Naval Base Norfolk, and Navy Cyber Defense Operation Command (NCDOC).

Apply by March 1, 2022


About

Support for Research Activities

  1. $7,200 for stipends and food

  2. Free on-campus housing for 10 weeks and travel support

    (Conditioned on that the REU program is hosted on-site at
    ODU)

Qualifications

  1. U.S. citizen or permanent resident

  2. Must be an undergraduate student during the program period

    (Graduation date after the program period)

  3. Preferred GPA 3.0+

  4. Students from all disciplines or majors will be considered

Requirements

  1. Perform at least 30 hours/week research with the mentor for 10 weeks

    (Starting from May 31, 2022)

  2. Attend weekly research meeting and other events

  3. Write a research report and create a poster at the end of the program



Past Projects

The REU project is selected together by the student and the mentor based on the student interests and background. The following is a list of selected past REU projects.

  • Measurement of Energy Impact on Blockchain Technologies: Cryptocurrency Mining
  • Visualization and Prevention of Backdoor Attacks in CNN model
  • Person Identification from Skeleton Data via a Convolutional Co-occurrence Feature Learning Network
  • Using Torchattacks to Improve the Robustness of Models with Adversarial Training
  • The Effect of the Coronavirus on Cyberbullying Research Methods

View More

  • Deep Learning Based Malware Classification Using Variational Autoencoders (VAE)
  • Cybersecurity and Cybercrime: a Multi-Level Analysis
  • Application of Homomorphic Encryption on Mesh Smoothing
  • Generalized Deep Learning Model for Automated Threat Detection
  • AccPhantom: An Accelerometer Side-Channel Attack Approach Utilizing Connectionist Temporal Classification on Recurrent Neural Networks
  • Continuous Authentication of Smartphone users: Touchscreen interactions
  • Despect: A Framework for the Creation of Microarchitectural Datasets
  • Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study
  • Radio Frequency Toolbox for Detection and Classification of Drones
  • Deep Learning Malware Detection using End-to-end Training
  • An Insider Look at Your Insider Threat: An Analysis of Insider Breaches
  • Twitter Social Bots: DIY Grassroots Campaign
  • Improve Security in Smart Drones
  • Transfer Learning for CNN based Robust Face Recognition in NAO Humanoid Robot
  • Comparing Security Risks to PayPal Transactions in the United States and Mexico
  • Inferring Web Browsing Usage Over Encrypted Data Traffic
  • Intrusion Detection using Machine Learning
  • Cybercriminals and the Punishment
  • Malicious Skill Design for Privacy Intrusion against Amazon Alexa Devices
  • Cyber Hygiene Knowledge and Behaviors of End Users


Research Mentors

Dr. Chunsheng Xin

Dr. Chunsheng Xin

Professor, ECE Dept.

Research Areas: Wireless network security, IoT security, GPS spoofing

Dr. Khan Iftekharuddin

Dr. Khan Iftekharuddin

Interim Dean, College of Engineering

Research Areas: Computer vision, face recognition, security monitoring

Dr. Hongyi Wu

Dr. Hongyi Wu

Director, School of Cybersecurity

Research Areas: Smart device, IoT, AI security and privacy


Dr. Brian K. Payne

Dr. Brian K. Payne

Vice Provost, Professor, Criminal Justice Dept.

Research Areas: Cyber crime

Dr. Sachin Shetty

Dr. Sachin Shetty

Professor, MSVE Dept.

Research Areas: Risk assessment, cyber insurance

Dr. Jiang Li

Dr. Jiang Li

Professor, ECE Dept.

Research Areas: Machine learning, intrusion detection


Dr. Danella Zhao

Dr. Danella Zhao

Associate Professor, Computer Science Dept.

Research Areas: UAV, Internet of Things

Dr. Jing Chen

Dr. Jing Chen

Assistant Professor, Psychology Dept.

Research Areas: human factors, autonomous driving, human trust in automation, risk communication

Dr. Bin Hu

Dr. Bin Hu

Assistant Professor, Engineering Technology Dept.

Research Areas: Vehicular Networks, Safe Reinforcement Learning


Dr. Cesar Pinto

Dr. Cesar Pinto

Associate Professor, Engineering Management & Systems Engineering Dept.

Research Areas: risk management in engineered systems

Dr. Wu He

Dr. Wu He

Associate Professor, Information Technology Dept., (on leave)



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