CSEIT195264 | Received : 03 March 2019 | Accepted : 12 March 2019 | March-April -2019 [ 5 (2) : 264-270 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2019 IJSRCSEIT | Volume 5 | Issue 2 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT195264 264 A Survey on Intrusion Detection System using Machine Learning and Deep Learning Hemavati*, Dr. Aparna R Department of Information Science and Technology, SIT, Tumakuru, Karnataka, India ABSTRACT As we know internet of Things (IoT) is one of the fastest growing paradigm which is composed of Internet and different physical devices with different domains or the smart applications like home automation, business automation applications, health and environmental monitoring applications. The dependency on IOT devices is increasing day by day with our daily activities, which leads to most important challenge for security. Since having a better monitoring system for better security is a need. From more than two decades the concept or the frame work called IDS (Intrusion detection system) is playing important role for detecting the attacks in the network. Since the network attacks are not fixed in nature, a new type of attacks are happening on the network applications. There are many traditional IDS techniques are available but they are complex to apply. Since machine learning is one of the important area which is achieving good results in many applications. In this paper we study about the different machine learning techniques used till now and the methodology for the attack detection and the validation strategy. We will also discuss about the performance metrics. Keywords :- IOT, IDS, deep learning, machine learning. I. INTRODUCTION As we know from the history humans are always into finding the new innovations and adopting those into their daily life for the betterment of leading the life. With the hungry of the new innovations the evolution of many new technologies has happened. Considering some of them are sensors, actuators, embedded computing, cloud computing, Internet of things (IoT) and many more. Internet of Things (IoT) transforms the networks communication from device to device based communication and provides an accessibility for the resources through the Internet. It expands the edge of the Internet and from the cloud to fog computing. When we say network, the internet and the IOT, the cybersecurity come into picture. Cybersecurity is composed of different technologies and processes designed to protect all hardware and software devices. A network security system consists of a network security system and a computer security system. Each of these systems includes firewalls, antivirus software, and intrusion detection systems (IDS). IDS helps to discover, determine and identify unauthorized system behaviour such as use, copying, modification and destruction [2]. Security breaches include external intrusions and internal intrusions. II. RELEVANT CONCEPTS 1. Intrusion Detection System Intrusion detection is the activity of detecting actions that intruders carry out against information systems. These actions, known as intrusions, aim to obtain