Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
A public key cryptosystem and a signature scheme based on discrete logarithms
Proceedings of CRYPTO 84 on Advances in cryptology
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Generalizing data to provide anonymity when disclosing information (abstract)
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A security machanism for statistical database
ACM Transactions on Database Systems (TODS)
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Communications of the ACM
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
The statistical security of a statistical database
ACM Transactions on Database Systems (TODS)
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Statistical Databases: Characteristics, Problems, and some Solutions
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
CRYPTO '89 Proceedings of the 9th Annual International Cryptology Conference on Advances in Cryptology
The Decision Diffie-Hellman Problem
ANTS-III Proceedings of the Third International Symposium on Algorithmic Number Theory
Revealing information while preserving privacy
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Limiting privacy breaches in privacy preserving data mining
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Achieving k-anonymity privacy protection using generalization and suppression
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy preserving association rule mining in vertically partitioned data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On the Privacy Preserving Properties of Random Data Perturbation Techniques
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Privacy-preserving k-means clustering over vertically partitioned data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Foundations of Cryptography: Volume 2, Basic Applications
Foundations of Cryptography: Volume 2, Basic Applications
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
On the complexity of optimal K-anonymity
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Secure applications of Pedersen's distributed key generation protocol
CT-RSA'03 Proceedings of the 2003 RSA conference on The cryptographers' track
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
A secure distributed framework for achieving k-anonymity
The VLDB Journal — The International Journal on Very Large Data Bases
L-diversity: Privacy beyond k-anonymity
ACM Transactions on Knowledge Discovery from Data (TKDD)
On anonymizing query logs via token-based hashing
Proceedings of the 16th international conference on World Wide Web
Preserving data privacy in outsourcing data aggregation services
ACM Transactions on Internet Technology (TOIT) - Special Issue on the Internet and Outsourcing
Sanitization models and their limitations
NSPW '06 Proceedings of the 2006 workshop on New security paradigms
Data & Knowledge Engineering
On static and dynamic methods for condensation-based privacy-preserving data mining
ACM Transactions on Database Systems (TODS)
Guided perturbation: towards private and accurate mining
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy Preserving Data Mining within Anonymous Credential Systems
SCN '08 Proceedings of the 6th international conference on Security and Cryptography for Networks
Personalized search using identity-based hashing
Proceedings of the 4th ACM workshop on Digital identity management
Towards privacy-preserving integration of distributed heterogeneous data
Proceedings of the 2nd PhD workshop on Information and knowledge management
Information Sciences: an International Journal
On Distributed k-Anonymization
Fundamenta Informaticae
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
An integrated framework for de-identifying unstructured medical data
Data & Knowledge Engineering
Online anonymity for personalized web services
Proceedings of the 18th ACM conference on Information and knowledge management
Privacy-preserving similarity-based text retrieval
ACM Transactions on Internet Technology (TOIT)
Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk
Transactions on Data Privacy
The test data challenge for database-driven applications
Proceedings of the Third International Workshop on Testing Database Systems
ACM Transactions on Database Systems (TODS)
Camouflage: automated anonymization of field data
Proceedings of the 33rd International Conference on Software Engineering
Distributed privacy preserving data collection
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Sanitizing microdata without leak: combining preventive and curative actions
ISPEC'11 Proceedings of the 7th international conference on Information security practice and experience
Distributed data mining protocols for privacy: a review of some recent results
MADNES'05 Proceedings of the First international conference on Secure Mobile Ad-hoc Networks and Sensors
Beyond k-anonymity: a decision theoretic framework for assessing privacy risk
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
Secure distributed computation of anonymized views of shared databases
ACM Transactions on Database Systems (TODS)
On Distributed k-Anonymization
Fundamenta Informaticae
Privacy-preserving deletion to generalization-based anonymous database
Proceedings of the CUBE International Information Technology Conference
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In order to protect individuals' privacy, the technique of k-anonymization has been proposed to de-associate sensitive attributes from the corresponding identifiers. In this paper, we provide privacy-enhancing methods for creating k-anonymous tables in a distributed scenario. Specifically, we consider a setting in which there is a set of customers, each of whom has a row of a table, and a miner, who wants to mine the entire table. Our objective is to design protocols that allow the miner to obtain a k-anonymous table representing the customer data, in such a way that does not reveal any extra information that can be used to link sensitive attributes to corresponding identifiers, and without requiring a central authority who has access to all the original data. We give two different formulations of this problem, with provably private solutions. Our solutions enhance the privacy of k-anonymization in the distributed scenario by maintaining end-to-end privacy from the original customer data to the final k-anonymous results.