2017 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2017)

254 / 2017-01-18 01:42:26

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

machine learning,cyber security,2144,graphical interpretation

In today’s world a huge amount of information is shared around the globe using internet. While connected to cyber word, Cyber security is an increasing problem. Now a days, Various Machine learning techniques are used to deal with Cyber Security threats. To enlighten the researchers about recent trends in this research area, we have analysed 150 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 Cyber security 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 cyber security.