In-Use Data Leakage Prevention in Microsoft Windows Operating System Using Naïve Bayes Classifier

Abstract

The product defines the distributed desktop application known as “In-use Data Leakage Prevention in Microsoft Windows Operating System using Naïve Bayes”. The purpose of the system is to ensure the security of organizational data, which cannot be revealed to outsiders through organization’s employees. In this work, we focused on printing device (printer) through which an important data can print by authorized user and took the printed-paper with him/her outside the organization. This product performs three main operations based upon data classes, which a printed document belongs. If system finds that the printing document belongs to secret class, then it can cancel the printing request. If system finds that the printing document belongs to confidential class, then system pause the printing request temporarily and ask a question about this printing request from admin, whether admin should allow this request or not. If admin allows this request, system change the status of this printing request from pause to resume else system can cancel the printing request. If system finds that the printing document belongs to non-confidential class, system cannot take any action because all documents belongs to this class are not much important. The system stores all records in database related to printing request. This system is implemented in python language and Tkinter framework is used in this work. All the work is done over client server architecture.