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PRIVACY PRESERVING CLUSTERING ON HORIZONTALLY PARTITIONED DATA USING ZERO KNOWLEDGE PROOF

Author(s):

Smita D Patel , Arya Institute of Engineering & Technology; Prof. Sanjay Tiwari, Arya Institute of Engineering & Technology

Keywords:

zero Knowledge Proof, cryptography, secret sharing, privacy preserving data mining, Secure Multiparty Computation

Abstract

Zero Knowledge Proof is one of the classical construct that acts as cryptographic primitive in basic multiparty protocols implementing identification schemes and secure computation. A few recent results that convert protocols working in semi-honest models to malicious models using interactive zero knowledge proofs and research on protocol implementing zero knowledge proofs in multiparty environments efficiently have pave the path for similar solutions. This research focuses on providing solution in malicious model by implementing zero knowledge proof system where multiple parties intend to perform privacy preserving clustering on horizontally partitioned database.

Other Details

Paper ID: IJSRDV2I2002
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 1-5

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