Results from a controlled testbed evaluation demonstrate that implementing this model substantially reduces the exposure window available to attackers — eliminating credential exposure and unplanned security-related downtime — and supports a smooth, transparent, and secure transition to cloud infrastructure.
Abstract
Data migration to cloud computing environments is a critical process for modern organisations seeking greater scalability, flexibility, and cost optimisation. However, this transition poses significant information security risks, including potential leakage of confidential information, data integrity breaches, and unauthorised access during the transfer. This article proposes an effective and comprehensive security framework specifically designed to protect data throughout all stages of the migration process — planning (pre-migration), actual transfer (during migration), and validation (post-migration). The proposed architecture integrates modern cryptographic methods (encryption of data at rest and in transit), robust identity and access management (IAM) mechanisms, as well as protocols for continuous monitoring and auditing. Through detailed vulnerability analysis and risk assessment, the framework ensures compliance with leading regulatory standards including the GDPR, while minimising business process downtime. Results from a controlled testbed evaluation at up to 200 GB scale demonstrate that implementing this model substantially reduces the exposure window available to attackers — eliminating credential exposure and unplanned security-related downtime — and supports a smooth, transparent, and secure transition to cloud infrastructure. The article provides both a theoretical foundation and practical guidelines applicable to IT professionals, cloud solution architects, and cybersecurity researchers.
Smart ports increasingly rely on secure, interoperable, and scalable digital infrastructures to manage complex flows of cargo, vehicles, people, and information. Access management has therefore evolved from an operational security function into a strategic component of governance, cybersecurity, regulatory compliance,...
Unknown authors· COLLECTION OF PAPERS NEW ECO...· 0 citations
Cloud computing has become the preferred technological foundation for modern businesses and governments, offering users unparalleled flexibility, scalability, and cost savings. The complexity of securing distributed cloud environments, which are characterized by shared responsibility, multitenancy models, and expande...
Muhammad Mustapha Abubakar, Y. Özen· Journal of Cloud Computing· 0 citations
The integrated approach addresses the complex interplay between technical capabilities, organizational processes, and regulatory requirements necessary for sustainable privacy protection in distributed cloud computing architectures.
Arpit Sheth· International journal of com...· 0 citations
This paper presents a hybrid edge–cloud framework for resilient cybersecurity monitoring and organizational security assessment, intentionally technology-agnostic so that it can be extended with different sensors, endpoint sources, security controls, analytical models, and security-operations integrations.
Mohammed Shams Tabrezuddin, Chilamakuru Nagesh, Afreen Aarza· Research Digest on Engineeri...· 0 citations
A multi-level cybersecurity and privacy framework that integrates complementary controls across physical, network, endpoint, application, data, identity and access management, monitoring and incident response, and human and policy domains is developed.
Results indicate that MC‑SDFR is a practical, performance‑optimized approach for secure, compliant data management in heterogeneous multi‑cloud and edge settings.
Vineesh R., Jeyakumar M. K.· International Journal of Com...· 0 citations
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