A Review on Machine Learning Techniques on IOT Based Privacy Preserving Network
Ankit Aggarwal, Sneha Arora · Advances in transdisciplinary engineering · 2022
Expanded data collection and processing at greater rates have come from a growth in the number of devices connected to the internet, which is especially important now that the requirement for real-time action has increased significantly in recent years. It is becoming more difficult to finish data processing within an acceptable time frame as the variety and validity of data continues to grow in volume and quality. Because the data generated is supplied to a variety of different cloud data centres located all over the world, the current cloud architecture is a sub-optimal choice in these situations, according to the researchers. In this approach, implementing machine learning technologies into the present cloud environment may improve the overall efficiency and effectiveness of the cloud environment. In this article, works on machine learning and security in the Internet of Things platform are evaluated.