Adaptive Privacy Policy Prediction of User Uploaded Images on Content sharing Sites

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 4, Issue 2, No 3, 2016

Copyright: All Rights Reserved ©2016

Year of Publication: 2016

Author: D.Banupriya,Mrs.V.Vetriselvi

Reference:IJCS-127

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Abstract

Social Network is an emerging E-service for content sharing sites (CSS). It is emerging service which provides a reliable communication, through this communication a new attack ground for data hackers; they can easily misuses the data through these media. Some users over CSS affects users privacy on their personal contents, where some users keep on sending unwanted comments and messages by taking advantage of the users’ inherent trust in their relationship network. By this privacy of the user data may be loss for this issue this paper handles the most prevalent issues and threats targeting different CSS recently. This proposes a privacy policy prediction and access restrictions along with blocking scheme for social sites using data mining techniques. To perform this, the system utilizes APP (Access Policy Prediction) and Access control mechanism by applying BIC algorithm (Bayesian Information Criterion)

References

[1] R. Datta, D. Joshi, J. Li, and J. Wang, ―Image retrieval: Ideas, influences, and trends of the new age‖ IEEE Transaction on Cloud Computing, Vol. 2, NO. 4, OCTOBER-DECEMBER 2014. [2] P.R. Hill, C.N. Canagarajah and D.R. Bull, ―Rotationally Invariant Texture Based Features‖ IEEE Computer Society 1089- 7801/15/$31.00 c 2015 IEEE. [3] Kaitai Liang, Joseph K. Liu, Rongxing Lu, Duncan S. Wong, ―Privacy Concerns for Photo Sharing in Online Social Networks‖ IEEE Computer Society 1089- 7801/15/$31.00 c 2015 IEEE. [4] P. Klemperer, Y. Liang, M. Mazurek, M. Sleeper, ―Tag, you can see it!: Using tags for access control in photo sharing‖ IEEE Transaction on Engineering Management, Vol. 62, NO. 3, AUGUST 2015. [5] D. Liu, X.-S. Hua, M. Wang, and H.-J. Zhang, ―Retagging social images based on visual and semantic consistency‖ IEEE Transaction on Image Processing, VOL. 24, NO. 11, NOVEMBER 2014. [6] G. Loy and A. Zelinsky, ―Fast radial symmetry for detecting points of interest‖ IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 25, NO.8, AUGUST 2014.


Keywords

Adaptive Privacy Policy Prediction (A3P), A3P- Core, A3P- Social, Polar Fourier Transform (PFT).

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

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