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Hlavní autor: Hari Prasad Bomma
Médium: Recurso digital
Jazyk:angličtina
Vydáno: Zenodo 2024
Témata:
On-line přístup:https://doi.org/10.55041/ISJEM02101
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author Hari Prasad Bomma
author_facet Hari Prasad Bomma
contents <p>Abstract: Organizations are mostly dependent on data warehouses to store and analyze information. As the<br>complexity of data warehouses increase, new challenges are faced in data security and privacy as legacy security<br>approaches are lacking the capabilities to address the unique requirements. This paper provides an overview of the<br>current research on leveraging artificial intelligence (AI) to enhance data security and privacy within data<br>warehouses. This paper will discuss the challenges, review current AI techniques used for securing data<br>warehouses, and propose potential solutions for balancing AI driven insights with the protection of individual<br>privacy.</p>
format Recurso digital
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language eng
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle Enhancing Data Security and Privacy in Data Warehouse using Artificial Intelligence
Hari Prasad Bomma
data security
data governance
Artificial intelligence
data warehouse
<p>Abstract: Organizations are mostly dependent on data warehouses to store and analyze information. As the<br>complexity of data warehouses increase, new challenges are faced in data security and privacy as legacy security<br>approaches are lacking the capabilities to address the unique requirements. This paper provides an overview of the<br>current research on leveraging artificial intelligence (AI) to enhance data security and privacy within data<br>warehouses. This paper will discuss the challenges, review current AI techniques used for securing data<br>warehouses, and propose potential solutions for balancing AI driven insights with the protection of individual<br>privacy.</p>
title Enhancing Data Security and Privacy in Data Warehouse using Artificial Intelligence
topic data security
data governance
Artificial intelligence
data warehouse
url https://doi.org/10.55041/ISJEM02101