Enhancing security in the internet of things ecosystem using reinforcement learning and blockchain

Document Type

Conference Proceeding

Publication Title

2022 International Wireless Communications and Mobile Computing, IWCMC 2022

First Page

243

Last Page

247

Publisher

IEEE

School

School of Engineering

RAS ID

45472

Comments

Badshah, A., Waqas, M., Tu, S., & Abbas, G. (2022, May). Enhancing security in the internet of things ecosystem using reinforcement learning and blockchain. In 2022 International Wireless Communications and Mobile Computing (IWCMC) (pp. 243-247). IEEE. https://doi.org/10.1109/IWCMC55113.2022.9824557

Abstract

Internet of Things (IoT) is a promising technology that attains significant consideration in diverse industrial areas, i.e., agriculture, engineering, logistics, trading, ecological examining, security surveillance, energy, and healthcare. IoT gains much more attention with the rapid advancement of wireless communication and sensor networks as millions of intelligent devices get involved in IoT. These intelligent devices' raw data must be captured and processed to support decision-making. However, IoT applications trust the central server for information storage, processing, and mediators for wireless transmission. Consequently, it can leak the information and lead to high costs and delays. Hence, data security is the leading interest for the IoT. Blockchain technology can be deployed to overcome the security and effectiveness of the gigantic data in IoT. Blockchain is studied as a key to permitting storing, processing and sharing of data in an efficient, secure manner. In addition, reinforcement learning can convene the high data rate requirements. It will help us to optimize the performance of the blockchain-enabled IoT framework.

DOI

10.1109/IWCMC55113.2022.9824557

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