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Published in:

Volume 4 Issue 8
August-2017
eISSN: 2349-5162

Unique Identifier

JETIR1708014

Page Number

63-65

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Title

LIME:PRIVACY PRESERVING TECHNIQUE FOR DATA MINING SYSTEMS

ISSN

2349-5162

Cite This Article

"LIME:PRIVACY PRESERVING TECHNIQUE FOR DATA MINING SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 8, page no.63-65, August-2017, Available :http://www.jetir.org/papers/JETIR1708014.pdf

Abstract

In the existing system we have seen that data security is not sufficient in organizations it’s not because of the system security errors but also from the persons that are presente in the firm. This paper proposes a method called insider collision attack which operates with the kernal values and which is very strong to defend the security attacks but in here there is a chance to occur a known-plain text attack and it is limited to non-homomorphic encryption method thus we use technologies which are very effective for finding the data leakage and data security problems when we are sending data through a network there may be a chance to some unauthorized users accesing the data for that here we use a data transfer protocol and data lineage framework for finding the data leakage situations while transmitting the data in the outsourcing and in the network transmission

Key Words

Data security,known plain text attack,data leakage,unauthroized users,data transfer protocol,Lime

Cite This Article

"LIME:PRIVACY PRESERVING TECHNIQUE FOR DATA MINING SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 8, page no. pp63-65, August-2017, Available at : http://www.jetir.org/papers/JETIR1708014.pdf

Publication Details

Published Paper ID: JETIR1708014
Registration ID: 170555
Published In: Volume 4 | Issue 8 | Year August-2017
DOI (Digital Object Identifier):
Page No: 63-65
ISSN Number: 2349-5162

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Cite This Article

"LIME:PRIVACY PRESERVING TECHNIQUE FOR DATA MINING SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 8, page no. pp63-65, August-2017, Available at : http://www.jetir.org/papers/JETIR1708014.pdf




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