Securing Healthcare Systems Integrating AI for Cybersecurity Solutions and Privacy Preservation
M. Diviya, R. Bhuvaneswari, M. Prabu, M. Sankara Subramanian, Arul Kumar Natarajan · Advances in healthcare information systems and administration book series · 2024
Protecting patient data and maintaining integrity in the healthcare system against cyber threats is crucial. Measures include data encryption for electronic health records, restricting access to sensitive data with multitier authentication, using firewalls and intrusion detection systems, and regularly updating software in medical devices. AI can enhance healthcare cybersecurity by detecting anomalies in the network, creating baseline behavior profiles for users to detect insider threats, using ML algorithms and deep learning for predictive analysis and vulnerability detection, and detecting phishing attempts to protect healthcare staff from social engineering attacks. The chapter focuses on creating a deep learning model for intrusion detection to preserve patient privacy and security by detecting anomalies in the network.