Secure multi party computation algorithm based on infinite product series
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 the...
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World Scientific and Engineering Academy and Society (WSEAS)
2010
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author | Rasouli, Abdolreza Maarof, Mohd. Aizaini Shamsi, Mahboubeh |
author_facet | Rasouli, Abdolreza Maarof, Mohd. Aizaini Shamsi, Mahboubeh |
author_sort | Rasouli, Abdolreza |
collection | ePrints |
description | 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. |
first_indexed | 2024-03-05T18:40:30Z |
format | Article |
id | utm.eprints-26662 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T18:40:30Z |
publishDate | 2010 |
publisher | World Scientific and Engineering Academy and Society (WSEAS) |
record_format | dspace |
spelling | utm.eprints-266622019-05-22T01:17:12Z http://eprints.utm.my/26662/ Secure multi party computation algorithm based on infinite product series Rasouli, Abdolreza Maarof, Mohd. Aizaini Shamsi, Mahboubeh QA75 Electronic computers. Computer science 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. World Scientific and Engineering Academy and Society (WSEAS) 2010-06 Article PeerReviewed Rasouli, Abdolreza and Maarof, Mohd. Aizaini and Shamsi, Mahboubeh (2010) Secure multi party computation algorithm based on infinite product series. WSEAS Transactions on Information Science and Applications, 7 (6). pp. 840-849. ISSN 1790-0832 |
spellingShingle | QA75 Electronic computers. Computer science Rasouli, Abdolreza Maarof, Mohd. Aizaini Shamsi, Mahboubeh Secure multi party computation algorithm based on infinite product series |
title | Secure multi party computation algorithm based on infinite product series |
title_full | Secure multi party computation algorithm based on infinite product series |
title_fullStr | Secure multi party computation algorithm based on infinite product series |
title_full_unstemmed | Secure multi party computation algorithm based on infinite product series |
title_short | Secure multi party computation algorithm based on infinite product series |
title_sort | secure multi party computation algorithm based on infinite product series |
topic | QA75 Electronic computers. Computer science |
work_keys_str_mv | AT rasouliabdolreza securemultipartycomputationalgorithmbasedoninfiniteproductseries AT maarofmohdaizaini securemultipartycomputationalgorithmbasedoninfiniteproductseries AT shamsimahboubeh securemultipartycomputationalgorithmbasedoninfiniteproductseries |