Secure Secret Sharing With Adaptive Bandwidth in Distributed Cloud Storage Systems

Abstract

The development of cloud storage technology has brought us great convenience that we can store data in remote servers and access it on any connected device. However, the frequent leakage of private data has brought more and more attention to the protection of private data. To solve related problems, the distributed storage schemes have been proposed. Considering security and fault tolerance, many of those schemes adopt threshold secret sharing techniques which are wildly used in distributed storage systems with disaster tolerance function. Nevertheless, in practical situations, the bandwidth between users and different servers may be unbalanced or even unfixed, which leads to low communication efficiency of the schemes when adopting original secret sharing. To obtain higher communication efficiency under different communication loads, we proposed a novel adaptive bandwidth secret sharing scheme in distribution cloud storage systems. In addition, we consider the scenario in which we use Shamir's secret sharing scheme and Staircase codes respectively in order to improve the applicability of the adaptive bandwidth scheme. We make the comparative of performance analysis to show the advantages and disadvantages of these two schemes. In general, compared with the non-adaptive schemes, the proposed adaptive bandwidth scheme can make full use of unbalanced bandwidth and achieve higher average communication rate when the upper bound of bandwidth is large enough.

An Efficient Method for Realizing Contractions of Access Structures in Cloud Storage

“…2) Multi-Cloud Storage: The multi-cloud storage model [1], [6], [7], [42] has been very popular for ensuring data confidentiality in cloud environment. For example, Xiong et al [42] considered a problem of unbalanced bandwidth between users and servers in a multi-cloud storage system and proposed adaptive bandwidth SSSs based on both Shamir's SSS [13] and Staircase codes. In this work, we consider a different problem of relocating data from some servers to the other servers.…”