Enabling Secure Data sharing with data deduplication and sensitive information hiding in cloud-assisted Electronic...

Area of Science:

• Medical Informatics
• Cloud Computing
• Data Security

Background:

• Cloud-assisted electronic medical systems facilitate medical research but face challenges with data duplication and patient privacy.
• Sharing electronic medical records (EMRs) can lead to redundant storage and potential exposure of sensitive patient information.
• Existing data sharing schemes often lack robust mechanisms for both deduplication and privacy preservation.

Purpose of the Study:

• To propose a secure data sharing scheme for cloud-assisted electronic medical systems.
• To address the issues of redundant storage caused by duplicate data and protect sensitive patient information.
• To enhance the efficiency of data deduplication and ensure secure access for authorized researchers.

Main Methods:

• Sensitive patient information in EMRs is replaced with wildcards before encryption to protect privacy.
• The entire electronic medical record is encrypted to ensure data security during sharing.
• Diagnostic information is categorized by duplicate ratio to enable selective data downloading.
• The scheme is designed to resist brute-force and single-point-of-failure attacks.

Main Results:

• The proposed scheme effectively hides sensitive patient information while enabling secure data sharing.
• Data deduplication efficiency is enhanced through pre-encryption wildcard replacement.
• Selective data downloading based on diagnostic information duplicate ratios is facilitated.
• Experimental results demonstrate superior efficiency compared to existing schemes.

Conclusions:

• The developed secure data sharing scheme effectively tackles data duplication and privacy issues in cloud-based EMR systems.
• The approach enhances data security, storage efficiency, and research accessibility.
• The scheme offers a robust solution for secure and efficient medical data sharing, outperforming current methods.