Secure and Scalable Collaborative Edge Computing using Decision Tree
Deepak Puthal, Ernesto Damiani, Saraju P. Mohanty · 2022
Edge computing is an essential step of an IoT-Edge workflow, where the Internet of Things (IoT) devices sense or collect the data, and data are processed and evaluated at the edge data centers (EDCs) for near real-time evaluation. Further, data are processed in the resource-rich Cloud environment. It is always challenging to filter out the corrupted data at the resource-constrained EDCs. To address this challenge, we proposed a method to create a collaborative edge computing environment and apply the Decision Tree (DT) to filter out the corrupted data and make the intact data available for data processing. Secondly, we developed a Decision Tree-based authentication mechanism to strengthen the Proof-of-Authentication (PoAh) process for seamless integration of Blockchain in IoT-Edge secure end-to-end data transmission. Finally, we have experimented in a real-time testbed to validate both the proposed approaches.