Volume & Issue no: Volume 4, Issue 1, January - February 2015
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Title: |
Study on Incentive Compatible Privacy-Preserving
Data Analysis Technique
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Author Name: |
Ms. Shital Gawhale, Prof.Rekha Jadhav |
Abstract: |
Abstract
Privacy preserving is one of the most important research
topics in the data security field and it has become a serious
concern in the secure transformation of personal data in
recent years. For example On line shopping used different
credit card and d credit card company control may try to
build better data sharing or publishing models for privacy
protection through privacy preserving data mining techniques
(PPDM). The Incentive model is very efficient to protecting
the sensitive data in privacy preserving data sharing system
because it provides the secrecy against not only semi-honest
adversary model and also the malicious model. The incentive
data are used to check user knowledge that is the processing
user is correct user or not and if valid then proceed. Secure
multi-party computation (SMC) has recently emerged as an
answer to this problem but SMC model they had generate only
one key for the each card and after some extent time there
may be chance of hacking the password by the hackers. To
overcome the above said problem in our proposed system we
are using symmetric key cipher algorithm to increase the
security measures. In this system it will encrypt the security
code so if any hacker check for the key it will be in encrypted
format so no one can hack the password. And to send the keys
to the mail we are using Java Mail API directly to
communicate with the Gmail server.
Keywords:- PPDM,SMC ,NCC etc |
Cite this article: |
Ms. Shital Gawhale, Prof.Rekha Jadhav , "
Study on Incentive Compatible Privacy-Preserving
Data Analysis Technique
" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 1, January - February 2015 , pp.
231-235 , ISSN 2278-6856.
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