A New Approach to Supervise Security in Social Network through Quantum Cryptography and Non- Linear Dimension Reduction Techniques
Social networking sites such as Orkut, Tribe, or Facebook
allow millions of individuals to create online profiles and
share personal information with vast networks of friends -
and, often, unknown numbers of strangers. Some of the
information revealed inside these networks is private and it
is possible that corporations could use learning algorithms
on the released data to predict undisclosed private
information. To find the patterns of information revelation
and their security implications, we analyze the online
behavior of wiki-vote data set and evaluate the amount of
information they disclose and study their dimension used
for reduction. In this paper we conclude that dimension
reduction is one of the factors through we can achieve the
security and maintain the integrity of dataset. We highlight
various Non-Linear dimension reduction techniques with
quantum cryptography to produce the desire result and
show the comparative result with linear dimension
reduction technique.
Keywords: Social network, Security, Quantum
cryptography, Non-Linear Dimension reduction
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