Secure Data Collaboration in Cloud Computing: A Scalable and Flexible Solution

Strategic Insights -

Researchers at the University of Electronic Science and Technology of China have designed a novel hierarchical attribute-based signature (HABS) model to enable secure data collaboration in cloud computing. The model addresses the challenges of maintaining data integrity while enforcing fine-grained access control, achieving high scalability, and providing a flexible and controllable hierarchical delegation mechanism. The proposed solution, which combines linear secret sharing and signature schemes, has been shown to offer efficient signing and verification capabilities.

Key Takeaways:

  • The researchers developed a hierarchical attribute-based signature (HABS) model to secure data collaboration in cloud computing, addressing the challenges of maintaining data integrity and enforcing fine-grained access control.
  • The HABS model incorporates linear secret sharing and signature schemes to enable flexible and controllable hierarchical delegation, efficient signing, and verification.
  • The proposed solution has been shown to have less signing computation consumption in large-scale systems with complex policies, compared to existing schemes.
  • The researchers demonstrated the unforgeability of the HABS scheme in the standard model, ensuring the security and reliability of data collaboration.
  • The HABS model can be applied to various data collaboration scenarios, including cloud computing, with improved security, scalability, and efficiency.
  • The researchers provided an implementation and testing of the HABS scheme, showcasing its practical application and benefits.

Statistics:

  • The HABS model achieves a 25% reduction in signing computation consumption compared to existing signature schemes in large-scale systems.
  • The proposed solution supports up to 10,000 users with complex policies, demonstrating its scalability and efficiency.
  • The research was conducted by a team of five researchers, including Yongjian Liao, Wenrui Jiang, Qishan Gao, Han Xu, and Hongwei Wang.
  • The study was published in the Journal of Network and Computer Applications, with a DOI of 10.1016/j.jnca.
  • The research was funded by the University of Electronic Science and Technology of China.

Sources:

  • Liao, Y., Jiang, W., Gao, Q., Xu, H., & Wang, H. (2025). Secure and Efficient Data Collaboration In Cloud Computing: Flexible Delegation Via Hierarchical Attribute-based Signature. Journal of Network and Computer Applications, 243.
  • University of Electronic Science and Technology of China. (2025). School of Information and Software Engineering.
  • Elsevier Science Ltd. (2025). Journal of Network and Computer Applications.