Suzanna Schmeelk

Orcid: 0000-0003-1886-3798

According to our database1, Suzanna Schmeelk authored at least 23 papers between 2009 and 2023.

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Bibliography

2023
Penetration Testing and Ethical Hacking: Risk Assessments and Student Learning.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Foundational Digital Forensics Skills and Learning: Exemplifying Social Justice.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Python Cryptographic Secure Scripting Concerns: A Study of Three Vulnerabilities.
Proceedings of the Advances in Information and Communication, 2023

2022
Ambient Intelligence Security Checks: Identifying Integrity Vulnerabilities in Industry Scripts.
Proceedings of the Intelligent Systems and Applications, 2022

Digital Authentication for Visually Disabled People: Initial Results of an Online Survey.
Proceedings of the Computers Helping People with Special Needs, 2022

Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Teaching effective Cybersecurity through escape the classroom paradigm.
Proceedings of the IEEE Global Engineering Education Conference, 2022

2021
Perspectives on Directing a Graduate Cybersecurity Program.
Computer, 2021

Top Reported Data Security Risks in the Age of COVID-19.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Blockchain Smart Contracts Static Analysis for Software Assurance.
Proceedings of the Intelligent Computing, 2021

Locating the Perpetrator: Industry Perspectives of Cellebrite Education and Roles of GIS Data in Cybersecurity and Digital Forensics.
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.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

ABET Cybersecurity Continual Course Improvements for Secure Software Development.
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.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Creating a Standardized Risk Assessment Framework Library for Healthcare Information Technology.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Where is the Risk? Analysis of Government Reported Patient Medical Data Breaches.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Where Are We Looking? Understanding Android Static Analysis Techniques.
Proceedings of the 2019 IEEE World Congress on Services, 2019

2018
What are they Researching? Examining Industry-Based Doctoral Dissertation Research through the Lens of Machine Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Doctor of Professional Studies in Computing: A Categorization of Applied Industry Research.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
Learning Java in a New York City immigrant engineer retraining program.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

2015
Android Malware Static Analysis Techniques.
Proceedings of the 10th Annual Cyber and Information Security Research Conference, 2015

2010
Towards a unified fault-detection benchmark.
Proceedings of the 9th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, 2010

2009
Managing Post-Development Fault Removal.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009


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