ABSTRACT
There has been a rapid growth in the need for cyber security measures in recent years, especially with the establishment of IoT. As the number of devices connected through the internet have increased, so have the number of loopholes which can be exploited by malicious individuals for their own personal agendas. The main objective of this chapter is to evaluate new patterns from a sample dataset which has been taken from kaggle.com. Spyder IDE with Python (which is a widely used friendly programming language) have been used together for statistical data analysis, mainly because of their flexibility and compatibility with each other. Graphical representation of the data by the use of the method of linear regression has been used for statistical analysis to be able to understand the correlation matrix, with the main aim of analyzing cyber security breaches from the organizations point of view and analyze a pattern in it. This analysis will help individuals understand how the process works, what predictions can be made, and how organizations can assess their own records and find out what caused an attack, what data was targeted, what measures could be taken, how often it occurs, which data is most vulnerable, etc.
