OLAP, relational, and multidimensional database systems
ACM SIGMOD Record
Efficient computation of Iceberg cubes with complex measures
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Cryptographic techniques for privacy-preserving data mining
ACM SIGKDD Explorations Newsletter
Tools for privacy preserving distributed data mining
ACM SIGKDD Explorations Newsletter
Cardinality-based inference control in OLAP systems: an information theoretic approach
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Cardinality-based inference control in data cubes
Journal of Computer Security
Privacy preservation for data cubes
Knowledge and Information Systems
SIAM Journal on Computing
Accuracy Control in Compressed Multidimensional Data Cubes for Quality of Answer-based OLAP Tools
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Robust Sampling-Based Framework for Privacy Preserving OLAP
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
FRAPP: a framework for high-accuracy privacy-preserving mining
Data Mining and Knowledge Discovery
Privacy-preserving OLAP based on output perturbation across multiple sites
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
A cubic-wise balance approach for privacy preservation in data cubes
Information Sciences: an International Journal
A secure multiparty computation privacy preserving OLAP framework over distributed XML data
Proceedings of the 2010 ACM Symposium on Applied Computing
Differential privacy: a survey of results
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
MDPA: multidimensional privacy-preserving aggregation scheme for wireless sensor networks
Wireless Communications & Mobile Computing
Balancing accuracy and privacy of OLAP aggregations on data cubes
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
A security framework for privacy-preserving data aggregation in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Secure and privacy-preserving information aggregation for smart grids
International Journal of Security and Networks
PDA: Privacy-Preserving Data Aggregation for Information Collection
ACM Transactions on Sensor Networks (TOSN)
FMC: an approach for privacy preserving OLAP
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
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Privacy Preserving Distributed OLAP identifies a collection of models, methodologies and algorithms devoted to ensuring the privacy of multidimensional OLAP data cubes in distributed environments. While there is noticeable research on practical and pragmatic aspects of Privacy Preserving OLAP, both in centralized and distributed environments, the active literature is lacking of contributions falling in the theory-side of this emerging research topic. Contrary to this, according to our vision, there is a significant need for theoretical results, which may involve in benefits for a wide spectrum of aspects, such as privacy preserving knowledge fruition schemes and query optimization. Inspired by these considerations, starting from our previous research result where the main privacy preserving distributed OLAP framework has been introduced, this paper proposes some theoretical results that nicely extend the capabilities and the potentialities of the framework above.