Philip Shen

Philip Shen has a B.S. in Applied Networking and Systems Administration from Rochester Institute of Technology and a M.S. Cybersecurity Management and Policy from University of Maryland Global Campus. He is currently a doctoral student in Cybersecurity at Marymount University. He has GSEC and ITIL certifications.

Publications

Cybersecurity and Cyberbiosecurity Insider Threat Risk Management
Cybersecurity and Cyberbiosecurity Insider Threat Risk Management
Darrell Norman Burrell, Calvin Nobles, Austin Cusak, Laura Ann Jones, Jorja B. Wright, Horace C. Mingo, Jennifer Ferreras-Perez, Katrina Khanta, Philip Shen, Kevin Richardson. © 2023. 16 pages.
This study examines the nature of professionals being insider threats to their own organization, as well as the general increase in harder-to-detect threats coming from an...
Cybersecurity Workforce Development Through Innovative High School Programs
Cybersecurity Workforce Development Through Innovative High School Programs
Aikyna Finch, Darrell Norman Burrell, Calvin Nobles, Kevin Richardson, Horace C. Mingo, Jennifer Ferreras-Perez, Philip Shen, Laura Ann Jones, Katrina Khanta. © 2023. 18 pages.
In 2022, there were more than 4,100 data breaches that were brought to public attention, which resulted in nearly 22 billion people's information being compromised. When...
Exploring Healthcare Cybersecurity Systems in the Age of COVID-19
Exploring Healthcare Cybersecurity Systems in the Age of COVID-19
Kevin Richardson, Darrell Norman Burrell, Horace C. Mingo, Jennifer Ferreras-Perez, Philip Shen, S. Raschid Muller, Dustin Bessette, Katrina Khanta. © 2023. 17 pages.
Unauthorized access to protected information in the healthcare industry is what constitutes a cyber breach. The repercussions of a data breach in cyberspace might be quite...
Identifying Reputable and Non-Reputable Journal Articles Using Machine Learning
Identifying Reputable and Non-Reputable Journal Articles Using Machine Learning
Jennifer Ferreras-Perez, Philip Shen, Jesus Alberto Galvan. © 2023. 14 pages.
The presence of non-reputable journals and low-quality research publications has imposed the development of a machine learning-based system to facilitate the swift and accurate...