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.
CONCLUSION
In this paper we study the privacy issue caused by the
sharing of co-owned data in OSNs. To help the owner of data collaborate with
the stakeholders on the control of data sharing, we propose a trust-based
mechanism. When a user is about to post a data item, the user first solicits
the stakeholders’ opinions on data sharing, and then makes the final decision
by comparing the aggregated opinion with a pre-specified threshold. The more
the user trusts a stakeholder, the more the user values the stakeholder’s
opinion. If a user suffers a privacy loss because of the data sharing behavior of another user, then the user’s trust in another
user decreases. Any Query Call Us: 9566355386
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System
: Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor
: 15 VGA Colour.
• Mouse
: Logitech.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : - Windows XP/7.
• Coding Language : JAVA/J2EE
• Data Base : MYSQL
REFERENCES
[1] C. Zhang, J. Sun, X. Zhu, and Y. Fang, ―Privacy and
security for online social networks: challenges and opportunities,‖ IEEE
Network, vol. 24, no. 4, pp. 13–18, July 2010.
[2] L. Xu, C. Jiang, J. Wang, J.
Yuan, and Y. Ren, ―Information security in big
data: Privacy and data mining,‖ IEEE Access, vol. 2, pp. 1149–1176, 2014.
[3] L. Xu, C. Jiang, Y.
Chen, J. Wang, and Y. Ren, ―A framework for
categorizing and applying privacy-preservation techniques in big data
mining,‖ Computer, vol. 49, no. 2, pp. 54–62, Feb 2016.