The following information was submitted:
Transactions: NUMERICAL SCHEMES AND METHODS IN SCIENCE AND ENGINEERING
Transactions ID Number: 10-173
Full Name: Abdolreza Rasouli
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: U8B 804 Kolej Perdana UTM, Skudai, Johor
Country: MALAYSIA
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E-mail address: rs.reza@gmail.com
Other E-mails: mahboubehshamsi@yahoo.com
Title of the Paper: Multi Party Computation Using Infinite Product Series Over Distributed Data
Authors as they appear in the Paper: Abdolreza Rasouli, Mohd Aizaini Maarof, Mahboubeh Shamsi
Email addresses of all the authors: rs.reza@gmail.com, aizaini@utm.my, mahboubehshamsi@yahoo.com
Number of paper pages: 10
Abstract: The potency of data mining tools to discover useful rules among large data inspires the companies to share their data to be mined. The big problem of these companies is trusting to a third party miner. Currently, the issue of Multi Party Computation (MPC) tries to solve this conflict using cryptographic tool. In this paper, we propose a secure summation algorithm for online transactions, where the users will send the data to the miner, stepwise. The algo-rithm emerges the excessively useful response time, so the execu-tion time of summation for 1000 users’ data is only 0.9s.
Keywords: Multi Party Computation, Privacy Preserving, Secure Counting Algorithm, Distributed Data
EXTENSION of the file: .doc
Special (Invited) Session: A New Multi Party Aggregation Algorithm Using Infinite Product Series
Organizer of the Session: 642-420
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IP ADDRESS: 161.139.147.96
