EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK

This article presents a comprehensive risk assessment framework for organizations transitioning from traditional data centers to cloud environments, addressing the critical security challenges inherent in cloud migration. Through a mixed-method approach combining systematic literature review, expert interviews (n=45), and multiple case studies across diverse industries, we develop and validate a structured framework for evaluating and mitigating security risks in cloud migration initiatives. The framework encompasses four key dimensions: data security, technical infrastructure, operational continuity, and regulatory compliance. The findings reveal that 73% of cloud migration security incidents stem from inadequate pre-migration risk assessment, while organizations utilizing structured risk assessment frameworks demonstrate a 62% reduction in security incidents during migration. The proposed framework introduces a novel scoring mechanism for risk prioritization and provides actionable mitigation strategies aligned with major compliance requirements (GDPR, HIPAA, PCI DSS). Validation across twelve enterprise-scale migrations demonstrates the framework's effectiveness in identifying critical security gaps and reducing risk exposure by an average of 47%. This article contributes to both theory and practice by providing a systematic approach to security risk assessment in cloud migration, while offering practical guidelines for security professionals and IT managers engaged in cloud transformation initiatives.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-06
DOI
https://doi.org/10.5281/zenodo.14045252
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK

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

EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK

article en

Abstract

This article presents a comprehensive risk assessment framework for organizations transitioning from traditional data centers to cloud environments, addressing the critical security challenges inherent in cloud migration. Through a mixed-method approach combining systematic literature review, expert interviews (n=45), and multiple case studies across diverse industries, we develop and validate a structured framework for evaluating and mitigating security risks in cloud migration initiatives. The framework encompasses four key dimensions: data security, technical infrastructure, operational continuity, and regulatory compliance. The findings reveal that 73% of cloud migration security incidents stem from inadequate pre-migration risk assessment, while organizations utilizing structured risk assessment frameworks demonstrate a 62% reduction in security incidents during migration. The proposed framework introduces a novel scoring mechanism for risk prioritization and provides actionable mitigation strategies aligned with major compliance requirements (GDPR, HIPAA, PCI DSS). Validation across twelve enterprise-scale migrations demonstrates the framework's effectiveness in identifying critical security gaps and reducing risk exposure by an average of 47%. This article contributes to both theory and practice by providing a systematic approach to security risk assessment in cloud migration, while offering practical guidelines for security professionals and IT managers engaged in cloud transformation initiatives.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 38%
Cloud Data Security Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS