Cybersecurity Visiting Student Research (CyberVSR) Program 2020

* Sponsored by Global Cybersecurity Institute and RIT Global

Purpose: Provide undergraduate and graduate students in the United States and internationally to

• gain research experiences in the broad area of cybersecurity with RIT faculty and peers of complementary skillsets and experiences, and
• immerse in an inclusive and culturally enriched and diverse environment for personal and professional development.

Program: Summer 2020 was held virtually (June 1 to August 7, 2020) due to COVID-19

• Research Mentorship with Faculty Advisor(s)
• Weekly CyberVSR Research Seminar:
  • Student-led panel presentations, break-out discussions, and critical analysis summary.
• Weekly CyberVSR Tiger Tea Hour:
  • Social hour for students to share local cultures (arts, food, music, traditions, stories, games, etc.) and to explore common interest groups.
• RIT Tiger Enrichment Workshops:
  • Professional and personal enrichment opportunities, such as personal branding, diversity from different cultural perspectives, and soft skills

CyberVSR Class of 2020:

• Konrad Sniatala (Poznan University of Technology, Poland): Data Security for Wearable Health Devices Monitoring Vital Signs
• Azqa Nadeem (TU Delft, Netherlands): Characterizing and Comparing Attacker Strategies in IDS Alert Sequences
• Martin Kinkead (Queen’s University Belfast, United Kingdom):  Deep Learning Obfuscation in Android
• Andrea Corsini (Universit`a di Modena e Reggio Emilia, Italy): Exploring the use of RNN to Identify Malicious Network Flows
• Sudheendra Raghav Neela (Mahindra Ecole Centrale, India): Evaluating the DyanFlow defense with Website Fingerprinting
• Marcus Chang (National Taiwan University, Taiwan): Introduction and demo about SparkFHE

• Sahil Gogna (Rochester Institute of Technology, USA): An investigation of security aspects of CNNs in PIM-related architectures
• Daman Morris (Rochester Institute of Technology, USA): Private Evaluation of Encrypted IDS Rules
• Yu-Ting Hsu (National Taiwan University, Taiwan): Prioritize Attack Models with Active Learning? A Preliminary Study
• Adisree Ankolekar (Rochester Institute of Technology, USA): Zeek: Overview and ML Use-cases
• Rohan Russel Nedungadi (Mahindra Ecole Centrale, India): Zeek: A Demo and Lessons Learned
• Arisa Cowe (Harvey Mudd College, USA): Dynamic Analysis of Malware Using Cuckoo Sandbox
   

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Questions and Inquires:

• GCI Contacts:
  • Ms. Amanda Zeluff (amzics@rit.edu)
  • Prof. S. Jay Yang (Jay.Yang@rit.edu)
• RIT Global Contact:
  • Ms. Lyndsey McGrath (lmfcms@rit.edu)