ABSTRACT:
Online social networks have now
become the most popular platforms for people to share information with others.
Along with this, there is a serious threat to individuals’ privacy. One privacy
risk comes from the sharing of co-owned data, i.e., when a user shares a data
item that involves multiple users, some users’ privacy may be compromised,
since different users generally have different opinions on who can access the
data. How to design a collaborative management mechanism to deal with such a
privacy issue has recently attracted much attention. In this paper, we propose
a trust-based mechanism to realize collaborative privacy management. Basically,
a user decides whether or not to post a data item based on the aggregated
opinion of all involved users. The trust values between users are used to
weight users’ opinions, and the values are updated according to users’ privacy
loss. Moreover, the user can make a trade-off between data sharing and privacy
preserving by tuning the parameter of the proposed mechanism. We formulate the
selecting of the parameter as a multi-armed bandit problem and apply the upper
confidence bound policy to solve the problem. Simulation results demonstrate
that the trust-based mechanism can encourage the user to be considerate of
others’ privacy, and the proposed bandit approach can bring the user a high
payoff.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
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System : Pentium Dual Core.
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Hard Disk : 120 GB.
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Monitor : 15’’ LED
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Input Devices : Keyboard, Mouse
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Ram : 1 GB
SOFTWARE REQUIREMENTS:
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Operating system : Windows 7.
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Coding Language : JAVA/J2EE
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Tool : Netbeans 7.2.1
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Database : MYSQL
REFERENCE:
Lei Xu1, Chunxiao Jiang2, Nengqiang He3,
Zhu Han4 and Abderrahim Benslimane,
“Trust-based Collaborative Privacy Management in Online Social Networks”, IEEE
Transactions on Information Forensics and Security, 2018.