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.

近年来，随着互联网技术的迅猛发展，存在各种各样的网络攻击。在当今的网络世界中，检测到这些攻击更为重要。跨学科的研究人员更喜欢使用机器学习（ML）和深度学习（DL）方法来解决问题。在本文中，我们介绍了各种DL / ML算法的详细分类。除此以外，还针对使用各种ML / DL方法检测不同类别的攻击进行了重点调查。此外，探索了用于实现DL / ML方法的各种平台和工具，并总结了针对不同类别攻击的安全解决方案。