An Integrated Assessment of Privacy-Preserving Technologies for Customer Data Protection in Hybrid E-Commerce Clouds

Abstract

Hybrid e-commerce clouds combine on-premises infrastructure with public or private cloud services to handle large volumes of consumer data across distributed environments. Handling sensitive information such as payment details, purchase histories, and personal identifiers demands rigorous protection to prevent unauthorized disclosure, identity fraud, and regulatory infractions. Privacy-preserving technologies form the backbone of these efforts, embedding data-centric safeguards into storage, transmission, and computation processes. Techniques including encryption, tokenization, trusted execution environments, and differential privacy enable the secure management of private details while allowing legitimate analytical functions to proceed. Governance frameworks, access controls, and identity management solutions further refine these strategies, ensuring that only authorized users and services can interact with protected information. This integrated assessment explores how privacy-preserving mechanisms operate in hybrid e-commerce clouds, identifies the primary challenges that arise when data flows span multiple platforms, and evaluates operational practices for maintaining robust confidentiality. Emphasis is placed on aligning privacy technologies with compliance requirements, mitigating risks posed by third-party integrations, and supporting data-driven insights without exposing sensitive attributes. The results highlight that end-to-end encryption, advanced obfuscation strategies, and scalable key management are foundational for safeguarding consumer trust. Conclusions emphasize that coordinated security orchestration, continuous policy refinement, and rigorous monitoring are essential to preserve data confidentiality in rapidly evolving hybrid e-commerce ecosystems.