The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-728
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: Secure Multi Party Computation Algorithm Based on Infinite Product Series
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, mh.shamsi@yahoo.com
Number of paper pages: 10
Abstract: Nowadays, data mining has been extremely interested; because of its ability to give the companies a better view for strategic decisions. In case of, contribution of several companies for a shared data mining, there is a big problem: confidentially of data. Here, the companies are avoided passing their data to the miner directly. The best solution is applying a cryptographic tools named as Multi Party Computation (MPC). In this paper, we represent a secure MPC algorithm for online transactions, where the clients' information, especially joint time and public keys are not clear. The algorithm emerges the excessively useful response time. The mathematic demonstration also ensures the privacy of clients' data.
Keywords: Multi Party Computation, Privacy Preserving, Secure Counting Algorithm, Distributed Data
EXTENSION of the file: .pdf
Special (Invited) Session: A New Multi Party Aggregation Algorithm Using Infinite Product Series
Organizer of the Session: 642-420
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