@inproceedings{9e0d938fc5374e959865b6e50f046a02,
title = "Secure and Scalable Collaborative Edge Computing using Decision Tree",
abstract = "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.",
keywords = "Blockchain, Collaborative Edge Computing, Data Filtration, Decision Tree, IoT-Edge Workflow",
author = "Deepak Puthal and Ernesto Damiani and Mohanty, {Saraju P.}",
note = "Funding Information: ACKNOWLEDGMENT The statements made herein are solely the responsibility of the authors. This publication is based upon work supported by the Khalifa University under Award No. FSU-2022-018. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022 ; Conference date: 04-07-2022 Through 06-07-2022",
year = "2022",
doi = "10.1109/ISVLSI54635.2022.00055",
language = "British English",
series = "Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI",
publisher = "IEEE Computer Society",
pages = "247--252",
booktitle = "Proceedings - 2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022",
address = "United States",
}