A Fast Fragmentation Algorithm For Data Protection In a Multi-Cloud Environment
This work addresses data security for users in multi-cloud settings, but it appears incremental as it builds on existing fragmentation techniques with performance improvements.
The paper tackles data protection in multi-cloud environments by introducing a novel fragmentation algorithm that is empirically shown to achieve good security and is more than twice as fast as existing techniques while maintaining reasonable storage overhead.
Data fragmentation and dispersal over multiple clouds is a way of data protection against honest-but-curious storage or service providers. In this paper, we introduce a novel algorithm for data fragmentation that is particularly well adapted to be used in a multi-cloud environment. An empirical security analysis was performed on data sets provided by a large enterprise and shows that the scheme achieves good data protection. A performance comparison with published related works demonstrates it can be more than twice faster than the fastest of the relevant fragmentation techniques, while producing reasonable storage overhead.