Artificial Intelligence-Driven Cybersecurity Visualization and Animation Technology: From Threat Perception to Decision Support

In the face of escalating complexity and scale of cyber attacks, traditional cybersecurity analysis methods are overwhelmed by the volume, dynamism, and complexity of data. Artificial Intelligence (AI), with its prowess in threat detection, behavioral analysis, and automated response, offers a beacon of hope. However, the black box nature of AI complicates trust in its decision-making. Concurrently, computer animation and data visualization emerge as powerful tools for intuitive and interactive data interpretation. This paper explores the synergy between AI and animation in cybersecurity, aiming to enhance analysis efficiency and decision transparency. Through a comprehensive review of AI applications in cybersecurity, the role of computer animation and visualization, and their integrated potential, we highlight the transformative impact of these technologies. The study also addresses technical challenges and future directions, emphasizing the practical significance across education, corporate, and national security contexts. Ultimately, the integration of AI and animation stands to revolutionize cybersecurity, making it more efficient, understandable, and user-friendly.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-04-07
DOI
https://doi.org/10.54254/2755-2721/2025.21899
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-Driven Cybersecurity Visualization and Animation Technology: From Threat Perception to Decision Support

Zhiwei Guan
Applied and Computational Engineering
Adversarial Robustness in Machine Learning
article

Artificial Intelligence-Driven Cybersecurity Visualization and Animation Technology: From Threat Perception to Decision Support

Zhiwei Guan
article en

Abstract

In the face of escalating complexity and scale of cyber attacks, traditional cybersecurity analysis methods are overwhelmed by the volume, dynamism, and complexity of data. Artificial Intelligence (AI), with its prowess in threat detection, behavioral analysis, and automated response, offers a beacon of hope. However, the black box nature of AI complicates trust in its decision-making. Concurrently, computer animation and data visualization emerge as powerful tools for intuitive and interactive data interpretation. This paper explores the synergy between AI and animation in cybersecurity, aiming to enhance analysis efficiency and decision transparency. Through a comprehensive review of AI applications in cybersecurity, the role of computer animation and visualization, and their integrated potential, we highlight the transformative impact of these technologies. The study also addresses technical challenges and future directions, emphasizing the practical significance across education, corporate, and national security contexts. Ultimately, the integration of AI and animation stands to revolutionize cybersecurity, making it more efficient, understandable, and user-friendly.

Applied and Computational EngineeringVol. 145(1)
Anhui University (CN)
Openalex Percentile: Top 97%
Adversarial Robustness in Machine Learning
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Artificial Intelligence-Driven Cybersecurity Visualization and Animation Technology: From Threat Perception to Decision Support — Zhiwei Guan · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS