The Impact of Artificial Intelligence on Data System Security: A Literature Review

Diverse forms of artificial intelligence (AI) are at the forefront of triggering digital security innovations based on the threats that are arising in this post-COVID world. On the one hand, companies are experiencing difficulty in dealing with security challenges with regard to a variety of issues...

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Autores principales:	Ricardo Raimundo, Albérico Rosário
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial intelligence security security of data security systems Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/33c58e147d1d47a1a934286441dec458
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spelling	oai:doaj.org-article:33c58e147d1d47a1a934286441dec4582021-11-11T19:03:46ZThe Impact of Artificial Intelligence on Data System Security: A Literature Review10.3390/s212170291424-8220https://doaj.org/article/33c58e147d1d47a1a934286441dec4582021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7029https://doaj.org/toc/1424-8220Diverse forms of artificial intelligence (AI) are at the forefront of triggering digital security innovations based on the threats that are arising in this post-COVID world. On the one hand, companies are experiencing difficulty in dealing with security challenges with regard to a variety of issues ranging from system openness, decision making, quality control, and web domain, to mention a few. On the other hand, in the last decade, research has focused on security capabilities based on tools such as platform complacency, intelligent trees, modeling methods, and outage management systems in an effort to understand the interplay between AI and those issues. the dependence on the emergence of AI in running industries and shaping the education, transports, and health sectors is now well known in the literature. AI is increasingly employed in managing data security across economic sectors. Thus, a literature review of AI and system security within the current digital society is opportune. This paper aims at identifying research trends in the field through a systematic bibliometric literature review (LRSB) of research on AI and system security. the review entails 77 articles published in the Scopus<sup>®</sup> database, presenting up-to-date knowledge on the topic. the LRSB results were synthesized across current research subthemes. Findings are presented. the originality of the paper relies on its LRSB method, together with an extant review of articles that have not been categorized so far. Implications for future research are suggested.Ricardo RaimundoAlbérico RosárioMDPI AGarticleartificial intelligencesecuritysecurity of datasecurity systemsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7029, p 7029 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence security security of data security systems Chemical technology TP1-1185
spellingShingle	artificial intelligence security security of data security systems Chemical technology TP1-1185 Ricardo Raimundo Albérico Rosário The Impact of Artificial Intelligence on Data System Security: A Literature Review
description	Diverse forms of artificial intelligence (AI) are at the forefront of triggering digital security innovations based on the threats that are arising in this post-COVID world. On the one hand, companies are experiencing difficulty in dealing with security challenges with regard to a variety of issues ranging from system openness, decision making, quality control, and web domain, to mention a few. On the other hand, in the last decade, research has focused on security capabilities based on tools such as platform complacency, intelligent trees, modeling methods, and outage management systems in an effort to understand the interplay between AI and those issues. the dependence on the emergence of AI in running industries and shaping the education, transports, and health sectors is now well known in the literature. AI is increasingly employed in managing data security across economic sectors. Thus, a literature review of AI and system security within the current digital society is opportune. This paper aims at identifying research trends in the field through a systematic bibliometric literature review (LRSB) of research on AI and system security. the review entails 77 articles published in the Scopus<sup>®</sup> database, presenting up-to-date knowledge on the topic. the LRSB results were synthesized across current research subthemes. Findings are presented. the originality of the paper relies on its LRSB method, together with an extant review of articles that have not been categorized so far. Implications for future research are suggested.
format	article
author	Ricardo Raimundo Albérico Rosário
author_facet	Ricardo Raimundo Albérico Rosário
author_sort	Ricardo Raimundo
title	The Impact of Artificial Intelligence on Data System Security: A Literature Review
title_short	The Impact of Artificial Intelligence on Data System Security: A Literature Review
title_full	The Impact of Artificial Intelligence on Data System Security: A Literature Review
title_fullStr	The Impact of Artificial Intelligence on Data System Security: A Literature Review
title_full_unstemmed	The Impact of Artificial Intelligence on Data System Security: A Literature Review
title_sort	impact of artificial intelligence on data system security: a literature review
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/33c58e147d1d47a1a934286441dec458
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The Impact of Artificial Intelligence on Data System Security: A Literature Review

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