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A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE

The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE la...

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Main Authors: Mohamed Alattas Alhashmi, Omar Abdulrahman, Abdollah, Mohd Faizal, Abdullah, Raihana Syahirah
Format: Article
Language:English
Published: Little Lion Scientific 2023
Online Access:http://eprints.utem.edu.my/id/eprint/28180/2/0103631102023405.pdf
http://eprints.utem.edu.my/id/eprint/28180/
https://www.jatit.org/volumes/Vol101No14/10Vol101No14.pdf
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spelling my.utem.eprints.281802025-01-10T08:21:25Z http://eprints.utem.edu.my/id/eprint/28180/ A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE Mohamed Alattas Alhashmi, Omar Abdulrahman Abdollah, Mohd Faizal Abdullah, Raihana Syahirah The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries. Little Lion Scientific 2023-07 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/28180/2/0103631102023405.pdf Mohamed Alattas Alhashmi, Omar Abdulrahman and Abdollah, Mohd Faizal and Abdullah, Raihana Syahirah (2023) A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE. Journal Of Theoretical And Applied Information Technology, 101 (14). pp. 5541-5552. ISSN 1992–8645 https://www.jatit.org/volumes/Vol101No14/10Vol101No14.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.
format Article
author Mohamed Alattas Alhashmi, Omar Abdulrahman
Abdollah, Mohd Faizal
Abdullah, Raihana Syahirah
spellingShingle Mohamed Alattas Alhashmi, Omar Abdulrahman
Abdollah, Mohd Faizal
Abdullah, Raihana Syahirah
A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
author_facet Mohamed Alattas Alhashmi, Omar Abdulrahman
Abdollah, Mohd Faizal
Abdullah, Raihana Syahirah
author_sort Mohamed Alattas Alhashmi, Omar Abdulrahman
title A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
title_short A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
title_full A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
title_fullStr A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
title_full_unstemmed A model of artificial intelligence in cyber security of SCADA to enhance public safety in UAE
title_sort model of artificial intelligence in cyber security of scada to enhance public safety in uae
publisher Little Lion Scientific
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/28180/2/0103631102023405.pdf
http://eprints.utem.edu.my/id/eprint/28180/
https://www.jatit.org/volumes/Vol101No14/10Vol101No14.pdf
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score 13.22586

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