Secure Data Replication in Edge and Fog Computing Environments
Abstract
This paper presents a comprehensive framework for secure data replication in edge and fog computing environments, addressing the challenges and solutions associated with these environments. The research proposes a multi-layered security model that integrates encryption, access control, and anomaly detection to safeguard replicated data across distributed nodes. The model leverages lightweight cryptographic techniques to ensure data confidentiality without imposing significant computational overhead, making it suitable for resource-constrained edge devices. The paper also explores advanced replication strategies that balance the trade-offs between consistency, availability, and partition tolerance, known as the CAP theorem. The approach adopts adaptive replication protocols to adjust to network conditions and workload variations dynamically, ensuring optimal data availability and fault tolerance. Extensive simulations and real-world experiments validate the efficacy of the proposed framework, showcasing significant improvements in data security and system resilience over traditional methods. The research contributes to the body of knowledge by providing practical insights and technical solutions for secure data replication, paving the way for more secure and reliable edge and fog computing systems.
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