The role of deep learning in ensuring privacy integrity and security: Applications in AI-driven cybersecurity solutions

This article explores the critical role of deep learning in developing AI-driven cybersecurity solutions, with a particular focus on privacy integrity and information security. It investigates how deep neural networks (DNNs) and advanced machine learning techniques are being used to detect and neutralize cyber threats in real time. The article also considers the implications of these technologies for data privacy, discussing the potential risks and benefits of using AI to protect sensitive information. By examining case studies and current research, the piece provides insights into how organizations can deploy deep learning models to enhance both security and privacy integrity in a digital world.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2024-08-25
DOI
https://doi.org/10.30574/wjarr.2024.23.2.2550
Citations
39
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
13.55
Controls
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article

The role of deep learning in ensuring privacy integrity and security: Applications in AI-driven cybersecurity solutions

Joseph Nnaemeka Chukwunweike, Oluwatobiloba Okusi, Moshood Yussuf, Temitope Oluwatobi Bakare et al.
39 citations
World Journal of Advanced Research and Reviews
Privacy-Preserving Technologies in Data
13.55
article

The role of deep learning in ensuring privacy integrity and security: Applications in AI-driven cybersecurity solutions

Joseph Nnaemeka Chukwunweike, Oluwatobiloba Okusi, Moshood Yussuf, Temitope Oluwatobi Bakare, Ayokunle J. Abisola
article en
39 citations

Abstract

This article explores the critical role of deep learning in developing AI-driven cybersecurity solutions, with a particular focus on privacy integrity and information security. It investigates how deep neural networks (DNNs) and advanced machine learning techniques are being used to detect and neutralize cyber threats in real time. The article also considers the implications of these technologies for data privacy, discussing the potential risks and benefits of using AI to protect sensitive information. By examining case studies and current research, the piece provides insights into how organizations can deploy deep learning models to enhance both security and privacy integrity in a digital world.

World Journal of Advanced Research and ReviewsVol. 23(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Privacy-Preserving Technologies in Data
13.55
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