Cyber Threats Prediction System Using Artificial Intelligence

Authors

  • Dr. Md. Atheeq Sultan Ghori Associate Professor, Department of Computer Science & Engineering, Telangana University, Nizamabad.

Keywords:

Cyber threat, intelligence Cyber threat prediction, Decision support system, Cyber anomaly detection,Cyber-attack dashboard, Social-media analysis.

Abstract

Worldwide digital goes after essentially influence the economy, society, associations, and people. Existing examination on digital assaults needs showing Man-made brainpower (simulated intelligence) based insightful answers for giving far reaching digital danger knowledge. Digital planners at a public level require man-made intelligence-based choice emotionally supportive networks for choosing a country's digital stance or readiness. This paper proposes a simulated intelligence-based arrangement that independently gathers multi-faceted digital assault information via virtual entertainment posts on digital related objection. The proposed framework gives basic logical capacity in the digital danger range and uses modern artificial intelligence-based calculations for peculiarity recognition, expectation, opinion examination, area discovery, interpretation, and so on.

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Published

2024-09-22

How to Cite

Dr. Md. Atheeq Sultan Ghori. (2024). Cyber Threats Prediction System Using Artificial Intelligence. Journal of Computational Analysis and Applications (JoCAAA), 33(1A), 459–466. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/667

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