Securing the cloud: Advanced solutions for government data protection

This study examines government agencies' critical security challenges when adopting cloud-based solutions. As governments increasingly migrate their services to the cloud to enhance efficiency and reduce costs, they must contend with significant risks, including data breaches, unauthorized access, and regulatory compliance. To mitigate these threats, the paper explores implementing robust security measures such as advanced encryption methods, multi-factor authentication (MFA), continuous monitoring, and Zero Trust Architecture. The research emphasizes the importance of adhering to international security standards like ISO 27001 and NIST guidelines to ensure data integrity and protect sensitive government information. Additionally, the study highlights the role of AI and machine learning (ML) technologies in enhancing security measures and automating threat detection. By leveraging these advanced security protocols, government agencies can safeguard digital assets while improving service delivery and public trust. The findings of this research suggest that a well-secured cloud infrastructure is essential for the modernization of government services, significantly enhancing operational efficiency, regulatory compliance, and citizen engagement. These insights underscore the necessity of continuous investment in cloud security to support the evolving needs of digital governance.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.14848512
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Securing the cloud: Advanced solutions for government data protection

Zenodo (CERN European Organization for Nuclear Research)
Cloud Data Security Solutions
article

Securing the cloud: Advanced solutions for government data protection

article en

Abstract

This study examines government agencies' critical security challenges when adopting cloud-based solutions. As governments increasingly migrate their services to the cloud to enhance efficiency and reduce costs, they must contend with significant risks, including data breaches, unauthorized access, and regulatory compliance. To mitigate these threats, the paper explores implementing robust security measures such as advanced encryption methods, multi-factor authentication (MFA), continuous monitoring, and Zero Trust Architecture. The research emphasizes the importance of adhering to international security standards like ISO 27001 and NIST guidelines to ensure data integrity and protect sensitive government information. Additionally, the study highlights the role of AI and machine learning (ML) technologies in enhancing security measures and automating threat detection. By leveraging these advanced security protocols, government agencies can safeguard digital assets while improving service delivery and public trust. The findings of this research suggest that a well-secured cloud infrastructure is essential for the modernization of government services, significantly enhancing operational efficiency, regulatory compliance, and citizen engagement. These insights underscore the necessity of continuous investment in cloud security to support the evolving needs of digital governance.

Zenodo (CERN European Organization for Nuclear Research)
Cornell University (US), Indiana University Bloomington (US), SC Johnson (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Cloud Data Security Solutions
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