Secure Data Deduplication for IoT-Based End-Edge-Cloud Collaboration

Strategic Insights -

Researchers from the School of Computing Science and Engineering have proposed a new approach to secure data deduplication for IoT-based end-edge-cloud collaboration. Their proposed scheme, called TrustDedup, employs convergent encryption and blockchain technology to ensure robust data security and improve deduplication efficiency in IoT scenarios. The research has been peer-reviewed and demonstrates the effectiveness of the proposed solution in addressing the security concerns associated with traditional data deduplication methods.

Key Takeaways:

  • The rapid growth of IoT devices in smart societies has led to a significant amount of redundant data stored in the cloud, reducing storage efficiency.
  • Traditional data deduplication methods primarily focus on cloud-only models and fail to accommodate the emerging end-edge-cloud collaborative framework driven by edge computing.
  • TrustDedup is a secure and efficient deduplication scheme that integrates edge-cloud collaboration and blockchain technology, employing convergent encryption for secure data deduplication and using blockchain-based smart contracts for transparent ownership verification.
  • The proposed scheme includes a two-tiered deduplication approach to enhance efficiency and mitigate label inconsistency attacks.
  • Security analyses and experimental results demonstrate that the proposed solution effectively improves deduplication efficiency and ensures robust data security in IoT scenarios.

Statistics:

  • 168: The volume number of the Journal of Systems Architecture where the research was published.
  • 1043 Nx Amsterdam, Netherlands: The address of Elsevier, the publisher of the Journal of Systems Architecture.
  • 2025: The year in which the research was conducted.
  • 91: The page number of Information Technology Newsweekly where the news report was published.

Sources:

  • "Trustdedup: Secure Data Deduplication for Iot Based On End-edge-cloud Collaboration." Journal of Systems Architecture, 2025; 168.
  • Journal of Systems Architecture. Journal of Systems Architecture can be contacted at Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands.
  • Xin Yao, Cent South Univ, School of Computing Science and Engineering, Changsha 410083, Hunan, People's Republic of China.
  • Chenxi Li, Jiawei Guo, Kecheng Huang, Ming Zhao, and Ting Yao.