Design Recommendations for Gate Security Systems and Health Status: A Systematic Review-Reference-Cited by-同舟云学术

Design Recommendations for Gate Security Systems and Health Status: A Systematic Review

Published:2023 Issue: Volume:11 Page:131508-131520
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Almuhaideb Abdullah M.¹^ORCID,Elhussein Mariam²^ORCID,Osman Reem³^ORCID,AlHolyal Fatema²,AlGhamdi Leena²,Al-Ismail Majd²,Alawami Maram²,Kadour Zainab²,Zagrouba Rachid²^ORCID

Affiliation:

1. Department of Networks and Communications College of Computer Science and Information Technology, Saudi Aramco Cybersecurity Chair, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

2. Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

3. Department of Computer Science, Applied College, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

Funder

Saudi Aramco Cybersecurity Chair, Imam Abdulrahman bin Faisal University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323492.pdf?arnumber=10323492

Reference59 articles.

1. Introduction to IoT;Bhat;Int. Adv. Res. J. Sci., Eng. Technol. ISO,2018

2. Smart door system using face recognition based on Raspberry Pi;Azmi;JURNAL INFOKUM,2021

3. Smart Door Locking System Using IoT—A Security for Railway Engine Pilots

4. Authentication systems: A literature review and classification

5. A Comprehensive Study on Multifactor Authentication Schemes

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