Distributed cooperative Bayesian Learning strategies
Information and Computation
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Selective private function evaluation with applications to private statistics
Proceedings of the twentieth annual ACM symposium on Principles of distributed computing
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Privacy preserving association rule mining in vertically partitioned data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 2002 workshop on New security paradigms
Privacy-Preserving Cooperative Statistical Analysis
ACSAC '01 Proceedings of the 17th Annual Computer Security Applications Conference
Information sharing across private databases
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Privacy-preserving k-means clustering over vertically partitioned data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
Deriving private information from randomized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Anonymity-preserving data collection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Proceedings of the 2006 ACM symposium on Applied computing
Efficient anonymity-preserving data collection
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Cryptographically private support vector machines
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A secure distributed framework for achieving k-anonymity
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy-Preserving Computation of Bayesian Networks on Vertically Partitioned Data
IEEE Transactions on Knowledge and Data Engineering
A privacy-preserving protocol for neural-network-based computation
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Privacy-preserving collaborative association rule mining
Journal of Network and Computer Applications
Client-side web mining for community formation in peer-to-peer environments
ACM SIGKDD Explorations Newsletter
Privacy-preserving distributed association rule mining via semi-trusted mixer
Data & Knowledge Engineering
A secure multidimensional point inclusion protocol
Proceedings of the 9th workshop on Multimedia & security
Two methods for privacy preserving data mining with malicious participants
Information Sciences: an International Journal
Secure two-party k-means clustering
Proceedings of the 14th ACM conference on Computer and communications security
Oblivious neural network computing via homomorphic encryption
EURASIP Journal on Information Security
Distributed privacy preserving k-means clustering with additive secret sharing
PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society
Privacy-preserving Naïve Bayes classification
The VLDB Journal — The International Journal on Very Large Data Bases
Guided perturbation: towards private and accurate mining
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy-preserving decision trees over vertically partitioned data
ACM Transactions on Knowledge Discovery from Data (TKDD)
A New Protocol for Conditional Disclosure of Secrets and Its Applications
ACNS '07 Proceedings of the 5th international conference on Applied Cryptography and Network Security
An efficient protocol for private and accurate mining of support counts
Pattern Recognition Letters
Information Sciences: an International Journal
Secure Hamming Distance Based Computation and Its Applications
ACNS '09 Proceedings of the 7th International Conference on Applied Cryptography and Network Security
Impossibility of unconditionally secure scalar products
Data & Knowledge Engineering
Preserving Privacy in Time Series Data Classification by Discretization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A distributed approach to enabling privacy-preserving model-based classifier training
Knowledge and Information Systems
Accurate and large-scale privacy-preserving data mining using the election paradigm
Data & Knowledge Engineering
Privacy-preserving backpropagation neural network learning
IEEE Transactions on Neural Networks
Secure two and multi-party association rule mining
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Using cryptography for privacy protection in data mining systems
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Practical issues on privacy-preserving health data mining
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Privacy preserving clustering for multi-party
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
On privacy in time series data mining
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Anonymous biometric access control
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
APHID: An architecture for private, high-performance integrated data mining
Future Generation Computer Systems
A new class of attacks on time series data mining\m{1}
Intelligent Data Analysis
Understanding privacy risk of publishing decision trees
DBSec'10 Proceedings of the 24th annual IFIP WG 11.3 working conference on Data and applications security and privacy
A distributed and privacy-preserving method for network intrusion detection
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
P4P: practical large-scale privacy-preserving distributed computation robust against malicious users
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Privacy-preserving Bayesian network parameter learning
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Privacy-Preserving graph algorithms in the semi-honest model
ASIACRYPT'05 Proceedings of the 11th international conference on Theory and Application of Cryptology and Information Security
Achieving k-anonymity by clustering in attribute hierarchical structures
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Privacy-Preserving collaborative association rule mining
DBSec'05 Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Security
Private mining of association rules
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
On private scalar product computation for privacy-preserving data mining
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
Private similarity computation in distributed systems: from cryptography to differential privacy
OPODIS'11 Proceedings of the 15th international conference on Principles of Distributed Systems
Privacy-preserving self-organizing map
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Preserving Privacy in Time Series Data Mining
International Journal of Data Warehousing and Mining
International Journal of Data Warehousing and Mining
International Journal of Applied Cryptography
Privacy-preserving logistic regression outsourcing in cloud computing
International Journal of Grid and Utility Computing
Distributed and Parallel Databases
Secure outsourced computation of iris matching
Journal of Computer Security
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As more and more activities are carried out using computers and computer networks, the amount of potentially sensitive data stored by business, governments, and other parties increases. Different parties may wish to benefit from cooperative use of their data, but privacy regulations and other privacy concerns may prevent the parties from sharing their data. Privacy-preserving data mining provides a solution by creating distributed data mining algorithms in which the underlying data is not revealed.In this paper, we present a privacy-preserving protocol for a particular data mining task: learning the Bayesian network structure for distributed heterogeneous data. In this setting, two parties owning confidential databases wish to learn the structure of Bayesian network on the combination of their databases without revealing anything about their data to each other. We give an efficient and privacy-preserving version of the K2 algorithm to construct the structure of a Bayesian network for the parties' joint data.