Denise Dragos

According to our database, Denise Dragos authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Penetration Testing and Ethical Hacking: Risk Assessments and Student Learning.

Suzanna E. Schmeelk, Denise M. Dragos

Proceedings of the IEEE Frontiers in Education Conference, 2023

Foundational Digital Forensics Skills and Learning: Exemplifying Social Justice.

Denise M. Dragos, Suzanna E. Schmeelk

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Ambient Intelligence Security Checks: Identifying Integrity Vulnerabilities in Industry Scripts.

Suzanna Schmeelk, Shannon Roth, Julia Rooney, Mughees Tariq, Khalil Wood, John Kamen, Denise Dragos

Proceedings of the Intelligent Systems and Applications, 2022

Teaching effective Cybersecurity through escape the classroom paradigm.

Joan E. DeBello, Suzanna Schmeelk, Denise M. Dragos, Erald Troja, Laura M. Truong

Proceedings of the IEEE Global Engineering Education Conference, 2022

2021

Top Reported Data Security Risks in the Age of COVID-19.

Suzanna Schmeelk, Kutub Thakur, Md Liakat Ali, Denise M. Dragos, Abdullah Alhayajneh, Bryan Rendra Pramana

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Locating the Perpetrator: Industry Perspectives of Cellebrite Education and Roles of GIS Data in Cybersecurity and Digital Forensics.

Denise Dragos, Suzanna Schmeelk

Proceedings of the Intelligent Computing, 2021

What Can We Learn about Healthcare IT Risk from HITECH? Risk Lessons Learned from the US HHS OCR Breach Portal.

Suzanna Schmeelk, Denise Dragos, Joan DeBello

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

ABET Cybersecurity Continual Course Improvements for Secure Software Development.

Suzanna E. Schmeelk, Denise M. Dragos, Joan E. DeBello

Proceedings of the IEEE Frontiers in Education Conference, 2021

2020

What are they Reporting? Examining Student Cybersecurity Course Surveys through the Lens of Machine Learning.

Denise Dragos, Suzanna Schmeelk

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020