A data leakage identification system based on truncated skew symetric gaussian mixture model

Abstract

Data transfer from source to destination has become more essential as the organizations working under a frame need to exchange the data for processing the information and solving the necessary tasks. This concept of data transfer has become a most tricky task with the advent of hackers, intruders and other guilt agents who try to steal the sensitive data for unethical means. The present article addresses the issue of identifying such data leakages and also provides a platform for data preventing from such issues.