AI-Enabled Blockchain-Based Access Control for Malicious Attacks Detection and Mitigation in IoE

【Author】 Bera, Basudeb; Das, Ashok Kumar; Obaidat, Mohammad S.; Vijayakumar, Pandi; Hsiao, Kuei-Fang; Park, YoungHo

【Source】IEEE CONSUMER ELECTRONICS MAGAZINE

【影响因子】4.135

【Abstract】In Internet of Everything (IoE), malicious attacks detection and mitigation are important issues. These issues can be resolved through an access control framework where two entities first authenticate each other prior to establishing any secret key for their secure communication. The sensing data of various smart devices in an IoE environment are processed securely at the nearby fog servers and at the same time legitimate users can also access the real-time data directly from designated smart devices through access control mechanism. We first discuss various attack trends in an IoE environment. After that, we discuss evolution of the blockchain technology in the IoE. An artificial intelligence based blockchain-envisioned access control framework for malicious attacks detection and mitigation has been suggested to secure the IoE environment. Finally, a blockchain-based implementation has been conducted on the proposed blockchain-envisioned access control framework for measuring the computational time needed for varying number of blocks mined in the blockchain and also for varying number of transactions per block.

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【发表时间】2021 2022-09-01

【收录时间】2022-01-02

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