CyROC Research Initiatives
In this Section

Key Cybersecurity Research Topics & Agenda

The center will strive for creating and generating strong research momentum and agenda. Relevant research topics could include but are not limited to the topics listed in the table below. 

Secure and automate Network focused research e.g. Wireless, 5G/LTE, etc.
Cloud Security & IoT Security e.g. Machine Learning, augmented learning, DevSecOps
Industry 4.0 e.g. Secure smart manufacturing
Human factors in security e.g. phishing and spam control/mitigation, social engineering attacks, insider attacks, etc.
Threat modeling e.g. Modeling of insider and outsider threats, supply chain security, understanding and managing advanced persistent threats
Cyber operations and forensics e.g. Digital forensics, CyberOp simulations
Privacy policy, regulation, legal and ethical issues e.g. security and privacy regulations, such as, HIPAA, etc. compliance, regulations, etc.
Secure software and hardware e.g. encryption, secure processors, secure OS, secure software engineering, etc.
Robotics and artificial intelligence e.g. cybersecurity threats on robots, security for multi-robot systems, trustworthy AI.



Internet of Healthcare Things - CNIT Capstone Spring 2022

Team members: Michael Du Mez, Riley Asp, Brock Holtschlag, Caleb Gullickson, Jacob Mahoney, Chase Heim, Collin Schutz, Conner Schutz, Charles Carlson, Logan Koneczny, Chris Caravella, Andrew Hanson, Emily Joyce, Matthew Korte, Jordan Madison, and Chris Pryzbilla.

Faculty & industry advisors: Holly Yuan, Son Nam Nguyen, Yuan Xing, Brandon Cross, Chris Warren, Sam Wosika, Sam Gibson, Brian Halbach, Kevin Mcdonald, and Greg Garneau.

COVID-19 has caused a profound disruption to the U.S. health care industry. It reveals the challenges the healthcare sector is currently facing as well as new hurdles to overcome. Many technologies have been implemented to fight against COVID-19. One of these technologies is the Internet of Healthcare Things (IoHT), which has used latest technologies in smart biosensors, wearable devices, Internet of Things (IoT), cloud computing, machine learning (ML), and artificial intelligence (AI) to revolutionize healthcare with point-of-care (PoC) diagnostics and enabling the next generation of patient-centric personalized healthcare.

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A Study of Internet of Healthcare Things (IoHT) to Fight COVID-19 and Future Public Health Crisis in Wisconsin
Designing and Implementing a Secure Internet of Healthcare Things (IOHT) Ecosystem


Tommy G. Thompson Center on Public Leadership logo.



Secure IIoT Smart Manufacturing Testbed - CNIT Capstone Spring 2022

Team members: Wesley Larrabee, Michael Laffin, Lee Kottke, Scott Bresnahan and Neil Borden

Faculty advisors: Holly Yuan, Wei Shi, Brandon Cross and Aaron Bialzik

Recent innovation within manufacturing has increased the interconnectivity of machines and physical equipment. This enables greater throughput of manufacturing data which can be used to optimize production and reduce human intervention. The manufacturing testbed used by a previous capstone project was expanded to test smart manufacturing technologies including Industrial Internet of Things (IIoT), 5G, Machine Learning (ML) and predictive maintenance within a more secure zero-trust network model.

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A Secure Smart Manufacturing Testbed using IIoT, Machine Learning, 5G, and Zero Trust






Secure Smart Manufacturing Testbed using WiFi 6, and LoRaWAN - CNIT Capstone Spring 2021

Team members: Luke Swanson, Alex Nohr, Case Schomburg, Wesley Larrabee, Luke Langafels

Faculty Advisors: Holly Yuan, Wei Shi, Brandon Cross, Larry Blackledge and Paul Craig

Building a smart and secure manufacturing testbed using IIoT, WIFI 6, and LoRaWAN