A Bibliometric Analysis of Recent Research on Machine Learning for Cyber Security

Abstract

In today’s world a huge amount of information is shared around the globe using internet. While connected to cyber word, cybersecurity is an increasing problem. Nowadays, various machine learning techniques are used to deal with cybersecurity threats. To enlighten the researchers about recent trends in this research area, we have analyzed 149 research papers from January 2015 to December 2016 and present a graphical and organized view of the referred research works. We observe that machine learning for cybersecurity has a great potential in carrying out further research. We have carried out bibliometric analysis by categorizing the referred papers using the method of implementation, article type, publishers and article efficiency. This analysis will provide insights for researchers, students, publishers and experts to study current research trends in the area of machine learning for cybersecurity.