Some basics on privacy techniques, anonymization and their big data challenges

DOI10.1007/s11786-018-0344-6zbMath1432.68136OpenAlexW2809577165MaRDI QIDQ1616158

Josep Domingo-Ferrer, Julián Salas

Publication date: 1 November 2018

Published in: Mathematics in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11786-018-0344-6

zbMATH Keywords

privacy enhancing technologiesdifferential privacybig data privacycontrol \(k\)-anonymityprivacy by design statistical disclosure

Mathematics Subject Classification ID

Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Computational aspects of data analysis and big data (68T09) Privacy of data (68P27)

Cites Work

• Unnamed Item
• Unnamed Item
• Improving the characterization of P-stability for applications in network privacy
• Secure data management in decentralized systems
• Disclosure risk assessment in statistical data protection.
• Graphic sequences, distances and \(k\)-degree anonymity
• Reidentification and \(k\)-anonymity: a model for disclosure risk in graphs
• Differentially private data analysis of social networks via restricted sensitivity
• Towards Privacy for Social Networks: A Zero-Knowledge Based Definition of Privacy
• How to share a secret
• Private information retrieval
• A public key cryptosystem and a signature scheme based on discrete logarithms
• A method for obtaining digital signatures and public-key cryptosystems
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
• Analyzing Graphs with Node Differential Privacy
• Fully homomorphic encryption using ideal lattices
• Advances in Cryptology - EUROCRYPT 2004
• Theory of Cryptography