A Secure Architecture For Resource Constrained Iot Environment

One of the most exciting emerging concepts nowadays is the Internet of Things. However, digital currency has run into issues with how quickly it has been adopted. The number of IoT devices is increasing exponentially, and presently we have more than 20000 million objects connected to the network. The amount of data and complexity circulating across networks is also growing exponentially. IoT plays a measure role in this growth rate of IoT data traffic, resulting in a significant rise in data traffic reaching the cloud or data centers. The response time of IoT systems is affected by the growth of data traffic as this may not be appropriate for sensitive environments. This paper presents a framework and a machine learning approach for the data management of IoT edge-cloud environments with resource-constrained IoT applications. In this paper, the security aspect has also been discussed for the resource-constrained IoT framework.