Data integrity verification based on hybrid cloud
Yu Jin, Xin Gong, Peng Li, Heng He · 2018
Cloud computing is a research trend in recent years, and cloud storage, one of the main services in cloud computing, has become a hot topic in industry and academia. As cloud storage is cheap and accessible, more and more individuals and companies are attracted to migrate their data to the cloud storage. However, the public cloud server is not a trusted third party, and the security of data is also a cause for concern. In recent years, the integrity audit scheme for remote data has been raised a lot. Private auditing is a representative method, but private auditing brings a lot of computing burden to the user, especially now the popular mobile side. We improve the Yan's scheme, put forward a batch auditing and present a new data model for the integrity of remote data validation, the model introduced a private cloud. The experimental results show that our scheme is feasible, guarantees the privacy of user data and reduces the computation cost.