Designing Privacy-Preserving Data Collaboration Architectures in Modern AdTech
DOI:
https://doi.org/10.32628/CSEIT241061178Keywords:
Privacy-Preserving Computing, Clean Room Architecture, Data Security Protocols, Regulatory Compliance, Multi-party ComputationAbstract
This technical article examines the architectural components and implementation strategies of privacy-preserving clean rooms in advertising technology, focusing on secure data collaboration while maintaining privacy and regulatory compliance. The article analyzes the fundamental mechanisms enabling secure multi-party computation, encryption methodologies, access control frameworks, and differential privacy techniques that form the foundation of modern cleanroom solutions. The article explores how these systems balance performance requirements with privacy guarantees while addressing technical challenges in scalability, query processing, and compliance integration. This article provides comprehensive insights into the evolution and future directions of privacy-preserving data collaboration in the advertising technology sector through a detailed analysis of implementation architectures, security protocols, and emerging technologies.
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