Cloud-based healthcare recommender systems have gained prominence for delivering personalized and effective patient care. Yet, these systems raise profound concerns about data security and privacy, especially with sensitive patient information. This chapter delves into strategies to fortify the security of cloud-based healthcare recommender systems, emphasizing safeguarding patient data from illegal access, breaches, and security threats. Initial exploration entails dissecting unique security challenges in such systems. This encompasses countering insider threats, tackling data migration complexities, integrating information securely, and managing risks tied to third-party service providers. A comprehensive review of security measures follows, encompassing encryption, access controls, and vigilant monitoring. The chapter also investigates the role of regulatory compliance frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR) in assuring patient data security. Challenges tied to cloud-based compliance, like continuous monitoring and auditing, are examined. Finally, the chapter provides practical guidance for secure implementation of cloud-based healthcare recommender systems. Recommendations encompass risk assessment for cloud providers, selecting secure providers with compliance track records, and formulating holistic security and privacy strategies with ongoing assessments. In essence, this chapter offers crucial insights into intricate security and privacy challenges inherent with cloud-based healthcare recommender systems. By elucidating risks, securing measures with implementation of best practices, this chapter serves as an indispensable guide for healthcare professionals and IT experts seeking to utilize cloud technology for enhanced and personalized patient care.

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Securing the Cloud: Strategies for Protecting Sensitive Patient Data in Cloud-Based Healthcare Recommender Systems

  • Tarun Kumar Vashishth,
  • Vikas Sharma,
  • Kewal Krishan Sharma,
  • Bhupendra Kumar,
  • Sachin Chaudhary,
  • Rajneesh Panwar

摘要

Cloud-based healthcare recommender systems have gained prominence for delivering personalized and effective patient care. Yet, these systems raise profound concerns about data security and privacy, especially with sensitive patient information. This chapter delves into strategies to fortify the security of cloud-based healthcare recommender systems, emphasizing safeguarding patient data from illegal access, breaches, and security threats. Initial exploration entails dissecting unique security challenges in such systems. This encompasses countering insider threats, tackling data migration complexities, integrating information securely, and managing risks tied to third-party service providers. A comprehensive review of security measures follows, encompassing encryption, access controls, and vigilant monitoring. The chapter also investigates the role of regulatory compliance frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR) in assuring patient data security. Challenges tied to cloud-based compliance, like continuous monitoring and auditing, are examined. Finally, the chapter provides practical guidance for secure implementation of cloud-based healthcare recommender systems. Recommendations encompass risk assessment for cloud providers, selecting secure providers with compliance track records, and formulating holistic security and privacy strategies with ongoing assessments. In essence, this chapter offers crucial insights into intricate security and privacy challenges inherent with cloud-based healthcare recommender systems. By elucidating risks, securing measures with implementation of best practices, this chapter serves as an indispensable guide for healthcare professionals and IT experts seeking to utilize cloud technology for enhanced and personalized patient care.