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Regulatory Compliance Monitoring System for GDPR, HIPAA, and PCI-DSS Across Distributed Cloud Architectures.
Subject area: Biological & Medical Sciences · Area of research: Computer Science
Abstract
The rapid adoption of distributed cloud architectures has transformed the way organizations store, process, and manage sensitive data, offering scalability, flexibility, and resilience. However, this paradigm shift introduces heightened complexities in ensuring regulatory compliance across multiple jurisdictions and cloud environments. Critical frameworks such as the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI-DSS) impose stringent requirements for data privacy, security, and governance. Non-compliance can lead to significant financial penalties, reputational damage, and operational disruptions. A robust regulatory compliance monitoring system is therefore essential to provide continuous oversight, identify compliance gaps, and ensure adherence to evolving legal and industry mandates. In distributed cloud ecosystems, compliance monitoring must address challenges such as data residency, cross-border transfers, multi-tenant resource isolation, and real-time security event tracking. Furthermore, integration with diverse cloud service models?public, private, and hybrid?demands flexible, interoperable compliance frameworks. This paper explores the design and operational considerations of a regulatory compliance monitoring system capable of unifying compliance oversight across heterogeneous cloud environments. By aligning automated monitoring, risk assessment, and audit readiness within a cohesive framework, organizations can enhance transparency, strengthen trust, and maintain compliance in an increasingly complex cloud-driven digital economy.
Keywords
Regulatory Compliance, GDPR, HIPAA, PCI-DSS, Distributed Cloud Architectures
How to cite this paper
@article{1710216,
author = {Iboro Akpan Essien, Emmanuel Cadet, Joshua Oluwagbenga Ajayi, Eseoghene Daniel Erigha, Ehimah Obuse},
title = {Regulatory Compliance Monitoring System for GDPR, HIPAA, and PCI-DSS Across Distributed Cloud Architectures.},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {12},
pages = {409-420},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710216.pdf},
abstract = {The rapid adoption of distributed cloud architectures has transformed the way organizations store, process, and manage sensitive data, offering scalability, flexibility, and resilience. However, this paradigm shift introduces heightened complexities in ensuring regulatory compliance across multiple jurisdictions and cloud environments. Critical frameworks such as the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI-DSS) impose stringent requirements for data privacy, security, and governance. Non-compliance can lead to significant financial penalties, reputational damage, and operational disruptions. A robust regulatory compliance monitoring system is therefore essential to provide continuous oversight, identify compliance gaps, and ensure adherence to evolving legal and industry mandates. In distributed cloud ecosystems, compliance monitoring must address challenges such as data residency, cross-border transfers, multi-tenant resource isolation, and real-time security event tracking. Furthermore, integration with diverse cloud service models?public, private, and hybrid?demands flexible, interoperable compliance frameworks. This paper explores the design and operational considerations of a regulatory compliance monitoring system capable of unifying compliance oversight across heterogeneous cloud environments. By aligning automated monitoring, risk assessment, and audit readiness within a cohesive framework, organizations can enhance transparency, strengthen trust, and maintain compliance in an increasingly complex cloud-driven digital economy.},
keywords = {Regulatory Compliance, GDPR, HIPAA, PCI-DSS, Distributed Cloud Architectures},
month = {June},
}