Machine Learning Techniques for defending Cloud enabled IoT network

With the expansion of IoT and its network connected devices, security is a major concerns. In IoT networks, the participating nodes are usually resource constrained, due to which they are vulnerable to cyber attacks. Security is the major concerns in the domain of IoT network. As there is a development of IoT network, the security of network layer has a big challenge. So to secure a dynamic IoT network different approaches like deployment of Intrusion Detection and Prevention model can be used to defend against various types of attacks on IoT network. With this Machine Learning can be used to improve the performance of detection and mitigation of attacks.ML which can embed intelligence in the IoT devices and networks, can be used for solving different security problems. The aim is to apply the ML techniques for defending against attacks that cloud enhance the security as well as privacy for IoT systems.