Secure and Reliable Data Transfer across Multiple Entities by Using LIME

Abstract

A data distributor has given precise data to a set of evidently trusted agents. Some of the data are leaked and found in an unjustified place. The distributor must assess the probability that the splitted data came from one or more agents, as opposed to having been individually collected by others. We suggest data allocation techniques which can enhance the chance of identifying split. These strategies do not build on changes of the outsourced data. While sending data through the network there is a lot of dishonest user looking to hack useful data. A proper security should be provided to data which is send to network. To avoid this data leakage, we used the data lineage mechanism. We develop and analyze novel accountable data transfer protocol between two entities within a malicious environment by building upon oblivious transfer and robust Watermarking.