Secure Cloud Computing for Personal Health Records

Researchers from Southwest Jiaotong University have developed a robust mechanism for ensuring fine-grained access control in personal health records (PHR) sharing in cloud computing environments. This cutting-edge technology utilizes attribute-based signatures and verifiable attribute-based keyword search, enabling secure and verifiable Boolean keyword searches over encrypted data. The system integrates real-time access policy updates and dynamic data updates, guaranteeing traceability and facilitating immediate revocation of malicious user attributes. The formal security analysis ensures comprehensive security against various types of attacks.

Key Takeaways:

  • The researchers introduced a dual-function approach that integrates attribute-based signatures and verifiable attribute-based keyword search, supporting real-time access policy and dynamic data updating for PHR sharing in cloud computing.
  • The proposed framework utilizes authenticated indexes to enable secure and verifiable Boolean keyword searches, supporting both access policies and dynamic data over encrypted data without compromising encrypted data security.
  • The system guarantees traceability, facilitating immediate dynamic updates and revocation of malicious user attributes.
  • Experimental evaluations on real-world datasets demonstrate that the scheme significantly outperforms existing schemes in terms of both efficiency and security.
  • The formal security analysis guarantees comprehensive security against selectively chosen keywords, ciphertext, and key exposure attacks.
  • The research has been peer-reviewed and is published in Cluster Computing, 2025;28(13).
  • The researchers aim to address current limitations in protecting sensitive information in PHR sharing in cloud computing environments.

Statistics:

  • Real-world datasets: Not specified
  • Number of experimental evaluations: Not specified
  • Efficiency improvement over existing schemes: Not specified
  • Security guarantee against selectively chosen keywords, ciphertext, and key exposure attacks: Comprehensive security
  • Publication date: 2025
  • Journal: Cluster Computing, 2025;28(13)
  • Publisher: Springer
  • URL: www.springerlink.com/content/1386-7857/

Sources:

  • "Towards Verifiable Updatable Attribute-based Boolean Keywords Search Sharing of Phrs In Cloud Environment" (Cluster Computing, 2025;28(13))
  • He Hongjie, Southwest Jiaotong University, School of Information Science and Technology, Chengdu 611756, People's Republic of China
  • Mao Niaxiong, Muqadar Ali, Abid Hussain, Mehboob Hussain (co-authors)