Shared and Secured Data Partitioning for Privacy Preserving of Collaborative File Transfer in Multi Path Computational Mining
In data mining, privacy preservation plays an important role for every part of internet applications like e-commerce which has been developed to improve the online product sharing and data sharing approaches. Many techniques have been presented earlier to share the data online with privacy terms. But the downside is that the privacy preservation of data is unreliable when large set of data has been shared. The previous work describes only the data sharing process in a secure manner using session based secured multiparty combination and there is none other reliable approach yet to be defined for file sharing concepts through online in a secure manner.