A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Cyber Security

In recent years there exists a wide variety of cyber attacks with the drastic development of the internet technology. Detection of these attacks is of more significant in today's cyber world scenario. Machine learning (ML) and deep learning (DL) methods have been preferred by researchers across different disciplines for providing solutions to their problems. In this paper we have presented a detailed classification of various DL/ML algorithms. In addition to that a focused survey on the use of various ML/DL methods for the detection of different categories of attacks has been presented. Furthermore the various platforms and tools used for implementing DL/ML methods are explored and the security solutions for the different categories of attacks are summarized.