Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework

Cybersecurity compliance has become increasingly complex due to evolving threats, overlapping standards, and rapidly changing requirements driven by emerging technologies like artificial intelligence. Organizations face significant challenges in efficiently mapping compliance requirements to specific security controls. This paper addresses this issue within the cloud industry by presenting a systematic approach to deploying a knowledge graph or ontology that maps cloud security controls at the granular implementation level to the NIST Cybersecurity Framework. Unlike previous efforts focused on high-level mappings, this approach enhances compliance efficiency and supports integration with common software languages such as HTTP and Java. The proposed methodology can also be adapted to other compliance standards.

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Publication Details

Published
2024-11-24
DOI
https://doi.org/10.1109/iccvit63928.2024.10872451
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.78
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article

Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework

William Wong, Zakaria Alomari, Yunlong Shao, Muhammad Islam Satti
1 citations
Cloud Data Security Solutions
0.78
article

Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework

William Wong, Zakaria Alomari, Yunlong Shao, Muhammad Islam Satti
article en
1 citations

Abstract

Cybersecurity compliance has become increasingly complex due to evolving threats, overlapping standards, and rapidly changing requirements driven by emerging technologies like artificial intelligence. Organizations face significant challenges in efficiently mapping compliance requirements to specific security controls. This paper addresses this issue within the cloud industry by presenting a systematic approach to deploying a knowledge graph or ontology that maps cloud security controls at the granular implementation level to the NIST Cybersecurity Framework. Unlike previous efforts focused on high-level mappings, this approach enhances compliance efficiency and supports integration with common software languages such as HTTP and Java. The proposed methodology can also be adapted to other compliance standards.

New York Institute of Technology (CA), James Cook University (AU)
Openalex Percentile: Top 17%
Cloud Data Security Solutions
0.78
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Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework — William Wong, Zakaria Alomari, et al. · (2024) | TGRS Research Map | TGRS