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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | IoT-Based Access Management Supported by AI and Blockchains |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Electronics |
| Publisher | MDPI Publishing |
| Geographical Reach | international |
| ISSN | 2079-9292 |
| Volume | 11 |
| Number | 18 |
| Page Range | 2971 |
| Date | 2022 |
| Abstract Text | Internet-of-Things (IoT), Artificial Intelligence (AI), and Blockchains (BCs) are essential techniques that are heavily researched and investigated today. This work here specifies, implements, and evaluates an IoT architecture with integrated BC and AI functionality to manage access control based on facial detection and recognition by incorporating the most recent state-of-the-art techniques. The system developed uses IoT devices for video surveillance, AI for face recognition, and BCs for immutable permanent storage to provide excellent properties in terms of image quality, end-to-end delay, and energy efficiency. |
| Free access at | DOI |
| Official URL | https://www.mdpi.com/2079-9292/11/18/2971 |
| Related URLs | |
| Digital Object Identifier | 10.3390/electronics11182971 |
| Other Identification Number | merlin-id:22991 |
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