Year: 2025
Type: article
Abstract: In modern e-healthcare ecosystems, patients frequently share their sensitive Personal Healthcare Records (PHRs) with healthcare providers via cloud platforms to ensure real-time access and effective treatment.However, outsourcing such critical data to third-party cloud servers poses significant challenges concerning privacy, data security, and controlled access. To address these issues, this paper implements and evaluates the DSAS (Data Sharing and Authorized Searchable) framework-an advanced cryptographic system that combines Searchable Encryption (SE) with Conditional Proxy Re-Encryption (CPRE). The framework enables fine-grained access delegation, efficient encrypted keyword-based search, and proxyinvisible re-encryption, ensuring data confidentiality even in untrusted cloud environments. Experimental evaluation demonstrates that the proposed approach achieves superior security features such as proxy invisibility, condition hiding, and collusion resistance, while maintaining computational efficiency suitable for resource-constraineddevices.This research substantiates DSAS as a practical and scalable solution for secure data sharing in cloud-based e-healthcare systems.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412888243