Legal Support of Cybersecurity in the Field of Application of Artificial Intelligence Technology

Nikolskaia, Kseniia; Minbaleev, Aleksey

doi:10.1109/itqmis51053.2020.9322905

Cited by 15 publications

(4 citation statements)

References 4 publications

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“…• Adaptive agentsuse genetic algorithms; these are techniques that allow optimization, are useful for problemsolving, can be considered intelligent techniquesbecause they allow working simultaneously on alternative solutionsand are powerful tools when applied to solve problems. The main idea of a genetic algorithm is to mimic what nature does through its iterative process; it evolves the algorithm based on a population and defines a standard solution, adapting the solutions to existing problems [12], [14].…”

Section: Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence as a Support Tool to Cybersecurity Activities

Arnaud¹,

Matos²

2022

ARIS2-Journal

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The present study is based on the analysis of the concepts of Cybersecurity and Artificial Intelligence, focusing on how both relate to each other. The COVID-19 pandemic and the fact that the world was forced into confinement had a huge impact on the increase of cyber-attacks and the birth of new threats. Currently, Cybersecurity is becoming an extremely complicated task, as we can no longer think of blocking an attack only by resorting to humans. The advanced and automated ways in which attacks have been developing mean that the task of defence must also be automated. Artificial Intelligence, due to its particularities, meets this need. This technology has been playing an increasingly important role in Cybersecurity, even though we may still consider it to be at an early stage

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Section: Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence as a Support Tool to Cybersecurity Activities

Arnaud¹,

Matos²

2022

ARIS2-Journal

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“…First, it has been an attempt to regulate cyber security, namely in terms of legal support of cyber security, with regard to the application of artificial intelligence technology [61], in an innovative and economical/political-friendly way [9] and in fields such as infrastructures, by ameliorating the efficiency of technological processes in transport, reducing, for example, the inter train stops [63] and education, by improving the cyber security of university E-Gov, for example in forming a certificate database structure of university performance key indicators [21] e-learning organizations by swarm intelligence [23] and acquainting the risk a digital campus will face according to ISO series standards and criteria of risk levels [25] while suggesting relevant solutions to key issues in its network information safety [12].…”

Section: Ai Social Applicationsmentioning

confidence: 99%

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

Raimundo

Rosário

2021

Sensors

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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® 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.

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“…First, it has been an attempt to regulate cyber security, namely in terms of legal support of cyber security, with regard to the application of artificial intelligence technology [61], by an innovative and economical / political friendly way [9] and in fields such as infra structures, by ameliorating the efficiency of technological processes in transport, reducing for example the inter train stops [63] and education, by improving cyber security of university E-Gov, for example in forming a certificate database structure of university Performance Key Indicators [21] e-learning organizations by swarm intelligence [23] and acquanting the risk a digital campus will face according to ISO series standards and a criteria of risk levels [25]. while suggesting relevant solutions to key issues in its network information safety [12].…”

Section: Ai Social Applicationsmentioning

confidence: 99%

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

Rosário¹,

Raimundo²

2021

Preprint

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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.

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Legal Support of Cybersecurity in the Field of Application of Artificial Intelligence Technology

Cited by 15 publications

References 4 publications

Artificial Intelligence as a Support Tool to Cybersecurity Activities

Artificial Intelligence as a Support Tool to Cybersecurity Activities

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

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

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