Enhancing security in the internet of things ecosystem using reinforcement learning and blockchain
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.
Document Type
Conference Proceeding
Date of Publication
1-1-2022
Publication Title
2022 International Wireless Communications and Mobile Computing, IWCMC 2022
Publisher
IEEE
School
School of Engineering
RAS ID
45472
Copyright
subscription content
First Page
243
Last Page
247
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