Interpretation of Confidentiality Policy for Uploaded Pictures on Content Sharing Sites
Keywords:
A3P, Privacy Policy, Image Analysis, Image Classification, Online Social Networks, Social CirclesAbstract
In this paper, we are displaying a proposed framework an Adaptive
Privacy Policy Prediction framework to enable clients to create protection
settings for their images. We utilized two-dimension system which as per
clients accessible history on the site,determines best accessible security
strategy for clients pictures being uploaded. Our arrangement depends
on a picture grouping for picture classes which might be related with
comparable strategies and on approach forecast calculation to naturally
produce strategy for each recently transferred pictures, additionally as
indicated by client’s social features. Over time,generated arrangements
will pursue development of client’s security disposition
References
Wordnet - A lexical database for the English language.
[Online]. Available:http://wordnet.princeton.edu
Aberer K. Data mining-A short introduction [Online].
-2008. Available: http://lsirwww.epfl.ch/courses/
dis/2003ws /lecturenotes/week13-Datamining print.
Divya R, Vinodkumar S. Survey on AIS, Apriori and FPTree algorithms. In: International Journal of Computer
Science and Management Research.
Kusiak SA. Association Rules-The Apriorialgorithm
[Online], Available:http://www.engineering.uiowa.
edu/~comp /Public /Apriori.pdf
Liu Y, Gummadi KP, Krishnamurthy B et al. Analyzing
facebook privacy settings: User expectations vs. reality.
In Proc. ACMSIGCOMMConf. Internet Meas. Conf.,2011; 61-70.
Klemperer P, Liang Y, Mazurek M et al. Tag, you can see
it!: Using tags for access control in photo sharing. In
Proc. ACM Annu. Conf. Human Factors Comput. Syst.,
; 377-386.
Squicciarini AC, Sundareswaran S, Lin D et al. A3p:
Adaptive policy prediction for shared images over
popular content sharing sites. In Proc. 22nd ACM Conf.
Hypertext Hypermedia, 2011; 261-270