Security and Privacy in IoT-based Healthcare Systems: A Review

Abstract

IoT-based healthcare solutions have transformed patient care and improved results. These technologies
capture and store sensitive patient data, raising security and privacy concerns. The paper first discusses
IoT-based healthcare system security issues. It evaluates cyber threats, system unavailability, and
vulnerabilities attackers can use to get patient data. The report also tackles IoT-based healthcare system
privacy issues such illegal data access and sharing and patient data breach concerns. The study proposes
numerous frameworks and solutions to protect patient data in IoT-based healthcare systems. Blockchain
technology can increase data security and privacy by offering a transparent, decentralized, tamperresistant
database. The report also discusses differential privacy, a statistical method that adds noise to
sensitive patient data to protect privacy. The study also examines how AI and ML can detect and mitigate
security vulnerabilities in IoT-based healthcare systems. The study also emphasizes the need for uniform
security and privacy standards to protect patient data across healthcare companies. The report stresses
the importance of integrating security and privacy into IoT-based healthcare systems from the start. In
conclusion, the study emphasizes security and privacy in IoT-based healthcare systems and the problems
of protecting patient data. It explores standardized security and privacy protocols and many frameworks
and solutions to address these issues.