تقرير
Securing The Future Of Healthcare: Building A Resilient Defense System For Patient Data Protection
العنوان: | Securing The Future Of Healthcare: Building A Resilient Defense System For Patient Data Protection |
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المؤلفون: | Ejiofor, Oluomachi, Akinsola, Ahmed |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Computers and Society, Computer Science - Cryptography and Security, Computer Science - Networking and Internet Architecture |
الوصف: | The increasing importance of data in the healthcare sector has led to a rise in cybercrime targeting patient information. Data breaches pose significant financial and reputational risks to many healthcare organizations including clinics and hospitals. This study aims to propose the ideal approach to developing a defense system that ensures that patient data is protected from the insidious acts of healthcare data threat actors. Using a gradientboosting classifier machine learning model, the study predicts the severity of healthcare data breaches. Secondary data was collected from the U.S. Department of Health and Human Services Portal with key indicators. Also, the study gathers key cyber-security data from Kaggle, which was utilized for the study. The findings revealed that hacking and IT incidents are the most common type of breaches in the healthcare industry, with network servers being targeted in most cases. The model evaluation showed that the gradient boosting algorithm performs well. Therefore, the study recommends that organizations implement comprehensive security protocols, particularly focusing on robust network security to protect servers Comment: pp. 27-39, 2024. CS & IT - CSCP 2024 |
نوع الوثيقة: | Working Paper |
DOI: | 10.5121/csit.2024.141303 |
URL الوصول: | http://arxiv.org/abs/2407.16170 |
رقم الأكسشن: | edsarx.2407.16170 |
قاعدة البيانات: | arXiv |
DOI: | 10.5121/csit.2024.141303 |
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