A new multi party aggregation algorithm using infinite product series

Authors:
Abdolreza Rasouli;Mohd Aizaini Maaroof;Mahboubeh Shamsi
Affiliations:
Department of Computer Science and Information Systems, University of Technology, Malaysia, Johor, Malaysia;Department of Computer Science and Information Systems, University of Technology, Malaysia, Johor, Malaysia;Department of Computer Science and Information Systems, University of Technology, Malaysia, Johor, Malaysia
Venue:
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
Year:
2010

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Abstract

The worthwhile data mining tools encourage the companies to share their data to be mined. Whereas, the companies are avoided passing their data to the miner directly because of their privacy and confidentially roles. Multi Party Computation (MPC) is a cryptographic tool which consummates aggregation on distributed data with ensuring the privacy preserving of sensitive data. In this paper, we represent a secure summation algorithm for online transactions, where the users will join the system piecemeal. The algorithm emerges the excessively useful response time, so the execution time of summation for 1000 users' data is only 0.9s.