C4.5: programs for machine learning
C4.5: programs for machine learning
Using sample size to limit exposure to data mining
Journal of Computer Security - Special issue on database security
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Transforming data to satisfy privacy constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A formal analysis of information disclosure in data exchange
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Top-Down Specialization for Information and Privacy Preservation
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
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
Incognito: efficient full-domain K-anonymity
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Checking for k-anonymity violation by views
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Template-Based Privacy Preservation in Classification Problems
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Mondrian Multidimensional K-Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Injecting utility into anonymized datasets
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Handicapping attacker's confidence: an alternative to k-anonymization
Knowledge and Information Systems
Privacy in database publishing
ICDT'05 Proceedings of the 10th international conference on Database Theory
ICDT'05 Proceedings of the 10th international conference on Database Theory
Integrating private databases for data analysis
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
M-invariance: towards privacy preserving re-publication of dynamic datasets
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Anonymizing Classification Data for Privacy Preservation
IEEE Transactions on Knowledge and Data Engineering
Minimality attack in privacy preserving data publishing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Anonymity for continuous data publishing
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Preservation of proximity privacy in publishing numerical sensitive data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Workload-aware anonymization techniques for large-scale datasets
ACM Transactions on Database Systems (TODS)
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Composition attacks and auxiliary information in data privacy
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
T-rotation: Multiple Publications of Privacy Preserving Data Sequence
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Privacy preserving serial data publishing by role composition
Proceedings of the VLDB Endowment
Towards privacy-preserving integration of distributed heterogeneous data
Proceedings of the 2nd PhD workshop on Information and knowledge management
A Novel Heuristic Algorithm for Privacy Preserving of Associative Classification
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Privacy-preserving data mashup
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Continuous privacy preserving publishing of data streams
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Privacy-preserving incremental data dissemination
Journal of Computer Security - Selected papers from the Third and Fourth Secure Data Management (SDM) workshops
Privacy protection for RFID data
Proceedings of the 2009 ACM symposium on Applied Computing
Privacy-preserving data publishing for cluster analysis
Data & Knowledge Engineering
Anonymization-based attacks in privacy-preserving data publishing
ACM Transactions on Database Systems (TODS)
Anonymizing healthcare data: a case study on the blood transfusion service
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Anonymizing location-based RFID data
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
An integrated framework for de-identifying unstructured medical data
Data & Knowledge Engineering
Incremental privacy preservation for associative classification
Proceedings of the ACM first international workshop on Privacy and anonymity for very large databases
Optimal random perturbation at multiple privacy levels
Proceedings of the VLDB Endowment
Transparent anonymization: Thwarting adversaries who know the algorithm
ACM Transactions on Database Systems (TODS)
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
(α, k)-anonymity based privacy preservation by lossy join
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Risk & distortion based K-anonymity
WISA'07 Proceedings of the 8th international conference on Information security applications
SABRE: a Sensitive Attribute Bucketization and REdistribution framework for t-closeness
The VLDB Journal — The International Journal on Very Large Data Bases
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
Protecting privacy in data release
Foundations of security analysis and design VI
Dynamic anonymization for marginal publication
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Privacy beyond single sensitive attribute
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Publishing anonymous survey rating data
Data Mining and Knowledge Discovery
Privacy and anonymization as a service: PASS
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Limiting disclosure of sensitive data in sequential releases of databases
Information Sciences: an International Journal
Generically extending anonymization algorithms to deal with successive queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Breaching Euclidean distance-preserving data perturbation using few known inputs
Data & Knowledge Engineering
Updating outsourced anatomized private databases
Proceedings of the 16th International Conference on Extending Database Technology
Practical differential privacy via grouping and smoothing
Proceedings of the VLDB Endowment
Extending loose associations to multiple fragments
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
Using safety constraint for transactional dataset anonymization
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
Improving accuracy of classification models induced from anonymized datasets
Information Sciences: an International Journal
| Hi-index | 0.00 |
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information separately. The availability of related releases sharpens the identification of individuals by a global quasi-identifier consisting of attributes from related releases. Since it is not an option to anonymize previously released data, the current release must be anonymized to ensure that a global quasi-identifier is not effective for identification. In this paper, we study the sequential anonymization problem under this assumption. A key question is how to anonymize the current release so that it cannot be linked to previous releases yet remains useful for its own release purpose. We introduce the lossy join, a negative property in relational database design, as a way to hide the join relationship among releases, and propose a scalable and practical solution.