Date of Award
Master of Science in Information Systems and Technology
Information and Decision Sciences
First Reader/Committee Chair
Dr. Benjamin Berrcera
This culminating experience project conducted a Systematic Literature Review of ransomware in the healthcare industry. Due to COVID-19, there has been an increase in ransomware attacks that took healthcare by surprise. Although ransomware is a common attack, the current healthcare infrastructure and security mechanisms could not suppress these attacks. This project identifies peer-viewed literature to answer these research questions: “What current ransomware attacks are used in healthcare systems? “What ransomware attacks are likely to appear in the future?” and “What solutions or methods have been used to prepare, prevent, and recover from these attacks?” The purpose of this research is to identify a possible increasing trend of seeing ransomware in the future and to see what technologies are used to combat these attacks. The findings focus on three solutions, artificial intelligence (AI), machine learning (ML), and blockchain as there can be many solutions that could have been included. Because the healthcare industry has many different types of systems involved, limitations of the research are solutions suggested being other studies may not work with other studies. For future studies, indicating a specific type of healthcare organization may be recommended and will have better results.
Adlaon, Jasler Klien, "A SYSTEMATIC LITERATURE REVIEW OF RANSOMWARE ATTACKS IN HEALTHCARE" (2023). Electronic Theses, Projects, and Dissertations. 1659.