Universiti Teknologi Malaysia Institutional Repository

A new multi party aggregation algorithm using infinite product series

Maaroof, Mohd. Aizaini and Rasouli, Abdolreza and Shamsi, Mahboubeh (2010) A new multi party aggregation algorithm using infinite product series. In: The 9th WSEAS International Conference on Application of Computer Engineering (ACE'10), 23-25 Mac 2010, Bayview Beach Resort, Pulau Pinang.

Full text not available from this repository.


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:worthwhile datadata, Multi Party Computation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:23780
Deposited By: Mrs Liza Porijo
Deposited On:20 Sep 2012 03:36
Last Modified:05 Feb 2017 08:22

Repository Staff Only: item control page