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IoT-Based Access Management Supported by AI and Blockchains

Schiller, Eryk; Esati, Elfat; Stiller, Burkhard (2022). IoT-Based Access Management Supported by AI and Blockchains. Electronics, 11(18):2971.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Control and Systems Engineering
Physical Sciences > Signal Processing
Physical Sciences > Hardware and Architecture
Physical Sciences > Computer Networks and Communications
Physical Sciences > Electrical and Electronic Engineering
Scope:Discipline-based scholarship (basic research)
Language:English
Date:19 September 2022
Deposited On:01 Dec 2022 06:57
Last Modified:28 Dec 2024 02:37
Publisher:MDPI Publishing
ISSN:2079-9292
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/electronics11182971
Official URL:https://www.mdpi.com/2079-9292/11/18/2971
Related URLs:https://www.zora.uzh.ch/id/eprint/205714/
Other Identification Number:merlin-id:22991
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