Applications of AI in cybersecurity

Hofstetter, Matthias; Riedl, Reinhard; Gees, Thomas; Koumpis, Adamantios; Schaberreiter, Thomas

doi:10.1109/transai49837.2020.00031

Cited by 11 publications

(2 citation statements)

References 2 publications

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“…The network can equally be used to comparatively identify the relative importance of some concepts in the literature. For instance, the innovation and DT literatures show an increasing interest in cybersecurity [87], [88], and associated concepts such as privacy or ethics, due to the novel risks associated with the progressive digitalization of diverse business settings. Related keywords such as 'cybersecurity' and 'security' ('privacy' and 'ethics' did not have enough occurrences to be included in the analysis), however, have low frequency and play only a peripheral role, even at the level of subcluster.…”

Section: Discussionmentioning

confidence: 99%

Interactions Between Innovation and Digital Transformation: A Co-Word Analysis

2022

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Recent literature suggests there is a natural connection between innovation and digital transformation, two key topics of interest in management and organization that have spawned large, independent and well-defined areas of study. While this connection might be analytically straightforward and notable examples are not hard to find, in everyday life, it materializes in a multiplicity of ways. A need emerges, then, to better understand the interaction between innovation and digital transformation so that it can be explored and exploited by actors in academia and the public, private and third sectors. In this article, we use a co-word analysis, a text mining technique that permits to systematically map the intellectual structure of a research field, to characterize the most notable dynamics of 'innovation-driven digitalization' and 'digitalized innovation'-the two major dimensions of interaction between innovation and digital transformation. The text identifies the relevant themes, subthemes and concepts that appear in the literature, as well as their relationship and level of development. It, then, aggregates them in a taxonomy that, on the one hand, readily displays their connection and, on the other hand, (i) informs about current or potential controversies, (ii) gaps, (iii) lines for novel and further research, and (iv) alternatives to bridge to other areas of study.

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Section: Discussionmentioning

confidence: 99%

Interactions Between Innovation and Digital Transformation: A Co-Word Analysis

2022

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“…User experience (UX) in cybersecurity is poised for a paradigm shift, with an increased emphasis on personalization and usercentric designs. AI-driven interfaces will adapt to individual user behaviors, offering tailored insights and recommendations, thereby making interactions more intuitive and efficient [10].…”

Section: Future Of Ai Cybersecurity and Uxmentioning

confidence: 99%

AI in Cybersecurity and User Interface Design beyond Chatbots

Shete

2023

J Arti Inte & Cloud Comp

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This paper examines the integration of Artificial Intelligence (AI) in cybersecurity, highlighting how AI is revolutionizing cloud security for enterprises amidst increasing cyber threats. It defines key concepts including AI, Machine Learning, Large Language Models, Natural Language Processing, and Generative AI, and explores their applications in cybersecurity. Focused on enhancing the efficiency and efficacy of cybersecurity solutions, the paper delves into AI-driven technologies like Text-to-Visualization, Breach Analytics, and Multi-modal Data Protection. It also discusses the impact of AI on user experience (UX) design, advocating for user-centric, intuitive interfaces in cybersecurity tools. The paper concludes by emphasizing the importance of ethical considerations in AI deployment and the crucial role of UX designers in shaping the future of AI-enhanced cybersecurity solutions.delves into AI-driven technologies like Text-to-Visualization, Breach Analytics, and Multi-modal Data Protection. It also discusses the impact of AI on user experience (UX) design, advocating for user-centric, intuitive interfaces in cybersecurity tools. The paper concludes by emphasizing the importance of ethical considerations in AI deployment and the crucial role of UX designers in shaping the future of AI-enhanced cybersecurity solutions.

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Artificial Intelligence Based Malicious Traffic Detection

Meda

Jahankhani

2022

Blockchain and Other Emerging Technologies for Digital Business Strategies

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Applications of AI in cybersecurity

Cited by 11 publications

References 2 publications

Interactions Between Innovation and Digital Transformation: A Co-Word Analysis

Interactions Between Innovation and Digital Transformation: A Co-Word Analysis

AI in Cybersecurity and User Interface Design beyond Chatbots

Artificial Intelligence Based Malicious Traffic Detection

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