期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：1-8
出版社：Science and Information Society (SAI)
摘要：Big Data is used by data miner for analysis purpose
which may contain sensitive information. During the procedures
it raises certain privacy challenges for researchers. The existing
privacy preserving methods use different algorithms that results
into limitation of data reconstruction while securing the sensitive
data. This paper presents a clustering based privacy preservation
probabilistic model of big data to secure sensitive
information..model to attain minimum perturbation and
maximum privacy. In our model, sensitive information is secured
after identifying the sensitive data from data clusters to modify
or generalize it.The resulting dataset is analysed to calculate the
accuracy level of our model in terms of hidden data, lossed data
as result of reconstruction. Extensive experiements are carried
out in order to demonstrate the results of our proposed model.
Clustering based Privacy preservation of individual data in big
data with minimum perturbation and successful reconstruction
highlights the significance of our model in addition to the use of
standard performance evaluation measures.
