Article
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Preserved in Portico This version is not peer-reviewed
The impact of Artificial Intelligence on Data System Security: A Literature Review
Version 1
: Received: 31 July 2021 / Approved: 2 August 2021 / Online: 2 August 2021 (12:36:22 CEST)
A peer-reviewed article of this Preprint also exists.
Raimundo, R.; Rosário, A. The Impact of Artificial Intelligence on Data System Security: A Literature Review. Sensors 2021, 21, 7029. Raimundo, R.; Rosário, A. The Impact of Artificial Intelligence on Data System Security: A Literature Review. Sensors 2021, 21, 7029.
Abstract
Diverse forms of artificial intelligence (AI in further text) 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, just 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 understanding 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 literature. AI is increasingly employed in managing data security across economic sectors. Thus, a literature review of AI and system secu-rity 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 Scopus® 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 extant review of articles that have not been categorized so far. Implications for future re-search are suggested.
Keywords
Artificial Intelligence; Securty; Security Of Data; Security Systems
Subject
Business, Economics and Management, Accounting and Taxation
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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