The tracker: a threat to statistical database security
ACM Transactions on Database Systems (TODS)
Security in statistical databases for queries with small counts
ACM Transactions on Database Systems (TODS)
A model of statistical database their security
ACM Transactions on Database Systems (TODS)
Security of statistical databases: multidimensional transformation
ACM Transactions on Database Systems (TODS)
Foundations of Secure Computation
Foundations of Secure Computation
Further results on the security of partitioned dynamic statistical databases
ACM Transactions on Database Systems (TODS)
Protecting statistical databases: a matter of privacy
ACM SIGCAS Computers and Society
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Hybrid inferential security methods for statistical databases
ACM SIGAPP Applied Computing Review - Special issue on security
Auditing Interval-Based Inference
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Cardinality-Based Inference Control in Sum-Only Data Cubes
ESORICS '02 Proceedings of the 7th European Symposium on Research in Computer Security
Multidimensional databases
Cardinality-based inference control in data cubes
Journal of Computer Security
Efficient inference control for range SUM queries on statistical data bases
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Query directed partitioning scheme for securing statistical databases
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
A security model for the statistical database problem
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Statistical databases: their model, query language and security
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Privacy Protection in Data Mining: A Perturbation Approach for Categorical Data
Information Systems Research
Privacy and e-commerce: a consumer-centric perspective
Electronic Commerce Research
Parity-based inference control for multi-dimensional range sum queries
Journal of Computer Security
A Robust Sampling-Based Framework for Privacy Preserving OLAP
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Disclosure Analysis and Control in Statistical Databases
ESORICS '08 Proceedings of the 13th European Symposium on Research in Computer Security: Computer Security
An efficient online auditing approach to limit private data disclosure
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
An overview of computer security
IBM Systems Journal
Auditing user queries in dynamic statistical databases
Information Sciences: an International Journal
Phoenix: privacy preserving biclustering on horizontally partitioned data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
User profiling with privacy: a framework for adaptive information agents
Intelligent information agents
Privacy disclosure analysis and control for 2D contingency tables containing inaccurate data
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Fuzzy based clustering algorithm for privacy preserving data mining
International Journal of Business Information Systems
Journal of Computer and System Sciences
On robust and effective k-anonymity in large databases
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Disclosure analysis for two-way contingency tables
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
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The concept of multidimensional transformation of statistical databases is described. A given set of statistical output may be compatible with more than one statistical database. A transformed database D' is a database which (1) differs from the original database D in its record content, but (2) produces, within certain limits, the same statistical output as the original database. For a transformable database D there are two options: One may physically transform D into a suitable database D', or one may release only that output which will not permit the users to decide whether it comes from D or D'. The second way is, of course, the easier one. Basic structural requirements for transformable statistical databases are investigated. The closing section discusses advantages, drawbacks, and open questions.