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.