Concept
data privacy
Parents
Children
AuthenticationAuthorization ModelsAuthorization PoliciesCryptographyData Leakage Prevention
69.7K
Publications
4.2M
Citations
111K
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10.1K
Institutions
Privacy-Preserving Data Anonymization
1973 - 2002
The Data Privacy period from 1973 to 2002 was defined by a shift toward formal privacy guarantees that enabled safe data sharing and analysis. Research emphasized privacy-preserving data publishing through formal notions such as k-anonymity, generalization, and suppression, while widening to privacy-preserving data mining and data transformation techniques that supported secure analytics in workflows. These efforts converged on privacy-by-design principles in data-centric systems, highlighting the balance between data utility and disclosure risk and the need for repeatable privacy mechanisms across processing stages.
• Cryptography and formal security principles underpin privacy and secure communications, emphasizing provable guarantees, adaptive attack resilience, and robust cryptographic primitives enabling privacy-by-design [4], [7], [8], [13], [14], [15].
• Privacy-preserving data processing and mining aims to extract knowledge while minimizing disclosure, featuring data anonymization, private information retrieval, and secure data-mining algorithms [6], [11], [12], [18].
• User-centric privacy research integrates economic, policy, and attitude analyses to map preferences, concerns, and trade-offs shaping privacy technology adoption and governance [1], [2], [3], [10], [20].
• Privacy in surveillance and censorship-resistant ecosystems examines surveillance risks, mail privacy enhancements, and censorship-resistant platforms as strategies for maintaining privacy in governance and communication [5], [15], [19].
Privacy-Preserving Data Publishing
2003 - 2010
Privacy-Preserving Cloud Outsourcing
2011 - 2017
Privacy-Preserving Distributed Analytics
2018 - 2024