A5081154412- Privacy-Preserving Technologies in Data
- Access Control and Trust
- COVID-19 Digital Contact Tracing
- Privacy, Security, and Data Protection
- Cloud Data Security Solutions
Soonchunhyang University
2022-2025
The rapid advancement of technology and increasing data utilisation have underscored the need for new models to manage secure big effectively. However, constraints isolated network environments limitations existing security frameworks hinder adoption cutting-edge technologies such as AI cloud computing, well safe data. To address these challenges, this study proposes an enhanced model that integrates concepts Multi-Level Security (MLS) Zero Trust (ZT). proposed classifies into following...
As COVID-19 became a pandemic worldwide, contact tracing technologies and information systems were developed for quick control of infectious diseases in both the private public sectors. This study aims to strengthen data subject’s security, privacy, rights centralized system adopted response spread due climate change, increasing cross-border movement, etc. There are several types systems: centralized, decentralized, hybrid models. demonstrates privacy model system, focusing on case Korea....