SGX Based Cloud-Edge Collaborative Secure Deduplication

Secure deduplication based on edge computing was emerged to improve the cost-efficiency, response time and data security of cloud storage. However, the existing solutions have high communication and key management overheads, and lack of security as well. In this paper, we propose SGE: an SGX-based secure deduplication framework with cloud-edge collaborative computing. It can strike a balance between system performance and security by utilizing SGX rather than traditional encryption algorithms to safeguard sensitive operations. Additionally, we design a popularity-based data caching strategy in edge node, which can further improve the efficiency of data recovery. The preliminary experimental results show that our approach can achieve a higher data communication efficiency than the conven-tional methods.