Research Article
Research on the Method of Eliminating Duplicated Encrypted Data in Cloud Storage Based on Generated Countermeasure Network
@INPROCEEDINGS{10.1007/978-3-030-82562-1_57, author={Lai-feng Tang and Qiang Wang}, title={Research on the Method of Eliminating Duplicated Encrypted Data in Cloud Storage Based on Generated Countermeasure Network}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Generative countermeasure network Cloud storage Encrypted data Data deduplication}, doi={10.1007/978-3-030-82562-1_57} }- Lai-feng Tang
Qiang Wang
Year: 2021
Research on the Method of Eliminating Duplicated Encrypted Data in Cloud Storage Based on Generated Countermeasure Network
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_57
Abstract
In order to improve the efficiency of cloud storage and save network communication bandwidth, data De-duplication technology has been widely used. At the same time, data encryption brings new challenges to the De-duplication technology. Therefore, the method of data De-duplication based on cloud storage encryption of generative countermeasure network is proposed to get rid of the constraints of third-party servers. The popularity of user data is divided into two layers. The semantic security of non-popular data is ensured by double-layer encryption. The inner layer is convergence encryption and the outer layer is symmetry encryption. When data popularity changes, the cloud server just needs to remove the outer layer of encryption and store the convergent encryption results. The security analysis of the scheme is given, and the performance of the scheme is discussed by performance analysis and comparison. The simulation results show that the scheme is feasible and efficient.
