Performance analysis of anomaly detection of different IoT datasets using cloud micro services

Although IoT has been around us for a while, it's a new leading edge in technology which has the ability to connect, communicate and remotely controlling devices via the internet. There is a transition happened from closed networks to the public Internet. Here comes the need of making people understand the need of security monitoring techniques in public network. IoT has been improved the quality of human life, but security of the data and systems is a major challenge. When we consider home automated systems each device has two or three modes of operation, but as technology advances people are adding intelligence to the machines, as a result the no of modes of operation increasing. As we develop some solutions based on IoT from a home automated systems to smart city problems, the data generated is huge, there comes the relevance of security monitoring at cloud level. If we didn't handle data at inceptive stage itself properly, it is prone to different types of attacks and vulnerabilities. This paper exposes and focuses on the anomaly detection performance analysis of different IoT data sets using Cloud micro services.