Evolution of Industry and Blockchain Era: Monitoring Price Hike and Corruption Using BIoT for Smart Government and Industry 4.0

【Author】 Hasan, Mohammad Kamrul; Akhtaruzzaman, Md; Kabir, S. Rayhan; Gadekallu, Thippa Reddy; Islam, Shayla; Magalingam, Pritheega; Hassan, Rosilah; Alazab, Mamoun; Alazab, Moutaz A.

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】The price gouging or price hike is a worldwide issue, and it is related to inflation. Because of rising prices, people in various countries cannot afford nutritious food or proper treatment. Sometimes shops, restaurants, and transportation service providers charge more than the prescribed product price from buyers. In addition, unauthorized VAT or Tax is taken on products that the government exempts. Another reason for price hikes is bribery, and it occurs in transporting and delivering goods. This article introduces a blockchain-based Internet of Things model to monitor product price hikes and corruption from the Industry 4.0 and blockchain 5.0 point of view. Industries produce and package different products. Wholesalers and retailers purchase products from industrial companies. The primary goal of this article is to propose a blockchain mechanism for monitoring price hikes and corruption where the government can monitor buying and selling between buyers and industrial companies. Here, we have established blockchain-integrated remote database model where blockchain relates to a relational database management system that uses remote database access protocol and Cloud server. This article presents the brief evolution of blockchain and industry generations. Finally, this article provides a next generation blockchain model. An intelligent government connected with Industry 4.0 monitors price hikes and corruption.

【Keywords】Blockchains; Fourth Industrial Revolution; Industries; Government; Servers; Cloud computing; Databases; Blockchain; Hashgraph; Industry 4; 0; price hike; price-gouging; relational database; smart government

【发表时间】2022 DEC

【收录时间】2022-10-17

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-工业领域