Data mining techniques are rising trends to aid organizations to analyze, find un-obvious patterns and details to benefit
from the customer or user data. But this is classified as proprietary information disclosure and mining misuse. To avoid this, we
introduce the concept of privacy preserving data mining (PPDM). The fundamental notions of the existing privacy preserving data
mining methods, their merits, and shortcomings are presented. We discus five techniques namely Anonymization based PPDM,
Perturbation based PPDM, Randomized response based PPDM, Condensation based PPDM and Cryptography based PPDM.
Published In:IJCSN Journal Volume 6, Issue 5
Date of Publication : October2017
Pages : 547-550
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Bhargav Sundararajan : SRM University, Chennai, Tamil Nadu 603203, India
Deepthi Peri : SRM University, Chennai, Tamil Nadu 603203, India
Nita Radhakrishnan : SRM University, Chennai, Tamil Nadu 603203, India
Mehul Awasthi : SRM University, Chennai, Tamil Nadu 603203, India
privacy, data mining, anonymization, perturbation
The primary objective of PPDM is promoting algorithm to
conceal sensitive data or over privacy. These sensitive
data do not get revealed to unapproved parties or invader.
In data mining there exists a trade of between utility and
privacy of data. When we accomplish one it inevitably
leads to the detrimental impact on the other. Many PPDM
techniques in existence are reviewed in the paper.
Ultimately, it is concluded with the fact that there is no
single PPDM technique in existence that outshines every
other technique with relation to each possible criteria such
as use of data, performance, difficulty, compatibility with
procedures for data mining, and so on. A particular
algorithm may function better when compared to another,
on a specific criterion. Various algorithms may be found
to function better than one another on given criterion.
Researchers are doing extensive research in ensuring that
the sensitive data of a person is not revealed as well as not
compromising the utility of data so that the data can be
useful for many purposes.
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