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Title Blockchain for Secure-GaS: Blockchain-Powered Secure Natural Gas IoT System With AI-Enabled Gas Prediction and Transaction in Smart City
ID_Doc 39815
Authors Xiao, WJ; Liu, C; Wang, HQ; Zhou, M; Hossain, MS; Alrashoud, M; Muhammad, G
Title Blockchain for Secure-GaS: Blockchain-Powered Secure Natural Gas IoT System With AI-Enabled Gas Prediction and Transaction in Smart City
Year 2021
Published Ieee Internet Of Things Journal, 8, 8
DOI 10.1109/JIOT.2020.3028773
Abstract The traditional natural gas Internet-of-Things (IoT) system has many problems, such as centralized management of resources, noncirculation of data between stations, insecurity of transaction information or account books, and lack of contract consensus. In order to ensure data security and reliable transaction, this article introduces artificial intelligence (AI) and blockchain technology and constructs an AI-enabled and blockchain-powered natural gas IoT system in a smart city. In this article, the natural gas output prediction model based on temporal pattern attention-based LSTMs (TPA-LSTMs) is used to enable the system to sense the change of natural gas deliverability. In addition, we establish a blockchain-based secure natural gas transaction scheme, which dynamically matches the purchase contract and sale contract to maximize the interests of the buyer and the seller and obtain a transaction contract. The experimental results show that our model can predict the output value of natural gas in real time and select the appropriate transaction matching scheme according to the dynamic demand for sales.
Author Keywords Natural gas; Contracts; Data models; Monitoring; Internet of Things; Smart cities; Artificial intelligence (AI); blockchain; Internet of Things (IoT); natural gas; security
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000638402100016
WoS Category Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
Research Area Computer Science; Engineering; Telecommunications
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