Computer Science – Cryptography and Security
Scientific paper
2009-12-04
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 2, pp. 184-188, November 2009, USA
Computer Science
Cryptography and Security
5 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS November 2009, ISSN 1947 5500,
Scientific paper
Secure Multiparty Computation (SMC) allows parties to know the result of cooperative computation while preserving privacy of individual data. Secure sum computation is an important application of SMC. In our proposed protocols parties are allowed to compute the sum while keeping their individual data secret with increased computation complexity for hacking individual data. In this paper the data of individual party is broken into a fixed number of segments. For increasing the complexity we have used the randomization technique with segmentation
Kumar Beerendra
Mishra Durgesh Kumar
Sheikh Rashid
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