Enhancing and evaluating an architecture for privacy in the integration of Internet of Things and cloud computing

Abstract

Through the Internet of Things (IoT) a large number of devices are connected to the Internet, resulting in a huge amount of produced data. Since these devices have limited resources, it is proposed the use of cloud computing to store, process and control the access to these data. A fundamental challenge related to this integration is the privacy, since confidential information about users may be collected by IoT devices and sent to the cloud. Consequently, it is imperative to provide mechanisms that allow users to control the use of their data. The proposed architectures either do not provide security inside the IoT network or do not evaluate the overhead imposed in the IoT devices. In order to fill this gap, this work evaluates and enhances an architecture for privacy in the integration of IoT and cloud computing by providing a method to protect the data generated by IoT devices without the use of a secure transport layer protocol, decreasing the amount of resources consumed by these devices. The proposed method is analyzed, in terms of delay and energy consumption, by an analytical and an experimental evaluation, comparing its performance with other approaches found in the literature.