STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
The Euclidean definition of the functions div and mod
ACM Transactions on Programming Languages and Systems (TOPLAS)
A new public key cryptosystem based on higher residues
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
On privacy and partition arguments
Information and Computation
Privacy Preserving Data Mining
CRYPTO '00 Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology
PKC '01 Proceedings of the 4th International Workshop on Practice and Theory in Public Key Cryptography: Public Key Cryptography
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
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Foundations of Cryptography: Volume 1
Foundations of Cryptography: Volume 1
Secure set intersection cardinality with application to association rule mining
Journal of Computer Security
Fairplay—a secure two-party computation system
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Privacy-preserving Naïve Bayes classification
The VLDB Journal — The International Journal on Very Large Data Bases
How to generate and exchange secrets
SFCS '86 Proceedings of the 27th Annual Symposium on Foundations of Computer Science
Privacy-Preserving Data Mining: Models and Algorithms
Privacy-Preserving Data Mining: Models and Algorithms
FairplayMP: a system for secure multi-party computation
Proceedings of the 15th ACM conference on Computer and communications security
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
On secure multi-party computation in black-box groups
CRYPTO'07 Proceedings of the 27th annual international cryptology conference on Advances in cryptology
ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
Cloning for privacy protection in multiple independent data publications
Proceedings of the 20th ACM international conference on Information and knowledge management
Data privacy against composition attack
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
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Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protection of private and personal information. Lately, numerous methods of privacy-preserving data mining have been proposed. Most of these methods are based on an assumption that semi-honest is and collusion is not present. In other words, every party follows such protocol properly with the exception that it keeps a record of all its intermediate computations without sharing the record with others. In this paper, we focus our attention on the problem of collusions, in which some parties may collude and share their record to deduce the private information of other parties. In particular, we consider a general problem in PPDM - multiparty secure computation of some functions of secure summations of data spreading around multiple parties. To solve such a problem, we propose a new method that entails a high level of security - full-privacy. With this method, no sensitive information of a party will be revealed even when all other parties collude. In addition, this method is efficient with a running time of O(m). We will also show that by applying this general method, a large number of problems in PPDM can be solved with enhanced security.