Date of Award


Document Type


Degree Name

Master of Science in Information Systems and Technology


Information and Decision Sciences

First Reader/Committee Chair

Dr. Vincent Nestler


Due to the recent COVID-19 outbreak, there were a lot of data leaks from the health sector. This project is about the increase in data breach incidents that are taking place. In this project, There is an analysis of different types of breaches that are found online and are practiced to steal valuable information. Talking about different aspects that lead to data breaches and which are the main sector or main epicenter for data leaks. The analysis tells that most of the data breaches are done using emails and to overcome this limitation a system has been designed that will help in reducing the risk of getting hacked through email. Also, a web-based portal is created using a machine learning model which would help in finding out the suspicious emails before it gets delivered to the receiver.

Software like the XAMPP server and HTML, CSS language is used for making the website. Use of tools like MS Excel and Tableau for statistical analysis and graphical representation for easy understanding. The idea of this email detection which is based on data learning and analysis has been explained in this project.