Distributed Data Multi-Level Storage Encryption Method Based on Full-Flow Big Data Analysis
Yong Ma, Yuyang Zhao, Zijian Zhang, Jun Wang · 2023
This paper firstly proposes a multi-level storage encryption method model for distributed data based on security-marked objects by taking advantage of the respective advantages of mandatory access control, attribute-based encryption and object storage. Then this paper designs a detailed multi-level trusted management model for collaborative storage security model, key management and data synchronization schemes. Again, this paper transforms the original ciphertext into coupled ciphertext by means of coupling and extraction method and further decomposes it into extraction ciphertext and encapsulation ciphertext. Finally, a multi-copy generation and damaged data recovery algorithm based on multi-level network coding is proposed. The algorithm improves the coding matrix of erasure codes based on multi-level network coding to form a multi-level coding matrix. Simulation experiment analysis shows that the performance loss caused by data security management is within an acceptable range. At the same time, the system has good scalability and can adapt to the application environment of large-scale distributed storage system.