Privacy Preservation of Images and Comments in Online Social Networks

Authors(2) :-Dr. K. Thyagarajan, R. Porkodi

The current privacy controls on social networks are far from adequate, resulting in inappropriate flows of information when users fail to understand their privacy settings or OSNs fail to implement policies correctly. Social networks may be complicated because of privacy expectations when they reserve the right to analyze uploaded photos using automated watermarking technique. A user who uploads digital data such as image to their home page may wish to share it with only mutual friends, which OSNs partially satisfy with privacy settings. This paper, we concentrate to solve the privacy violation problem occurred when images are published on the online social networks without the permission. According to such images are always shared after uploading process. Therefore, the digital image watermarking based on DWT co-efficient. Watermark bits are embedded in uploaded images. Watermarked images are shared in user home page. So images can be difficult to misuse by other persons. This paper provides protection approach to design the flexible policies for uploaded data. And also extend the work to implement information filtering approach to be used to give users the ability to automatically monitor the messages written on their own walls, by filtering out unwanted messages and comments about images. This concept can be implemented in real time for sending mobile intimation at the time of user in offline mode about negative comments. So user can easily guard the system from privacy violations.

Authors and Affiliations

Dr. K. Thyagarajan
Associate Professor, Department of Computer Science A.V.C College, Mayiladuthurai, Tamil Nadu, India
R. Porkodi
Research Scholar, Department of Computer Science A.V.C College, Mayiladuthurai, Tamil Nadu, India

Online social networks, Image Acquisition, Privacy violations, Digital watermarking techniques, Wavelet co-efficient values, Comments filtering

  1. H. Cheng, X. Zhang, J. Yu, and F. Li, "Markov process based retrieval for encrypted jpeg images," in Proc. of 10th International Conference on Availability, Reliability and Security. IEEE, 2015, pp. 417–421.
  2. A. Rial, M. Deng, T. Bianchi, A. Piva, and B. Preneel, "A provably secure anonymous buyer–seller watermarking protocol," Information Forensics and Security, IEEE Transactions on, vol. 5, no. 4, pp. 920–931, 2010.
  3. J. Zhang, Y. Xiang, W. Zhou, L. Ye, and Y. Mu, "Secure image retrieval based on visual content and watermarking protocol," The Computer Journal, vol. 54, no. 10, pp. 1661–1674, 2011.
  4. T. Bianchi and A. Piva, "Secure watermarking for multimedia content protection: A review of its benefits and open issues," IEEE Signal Processing Magazine, vol. 30, no. 2, pp. 87–96, 2013.
  5. A. Piva, T. Bianchi, and A. De Rosa, "Secure client-side st-dm watermark embedding," Information Forensics and Security, IEEE Transactions on, vol. 5, no. 1, pp. 13–26, 2010..
  6. M. Cheung and J. She, "Evaluating the privacy risk of user-shared images," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 12, no. 4s, p. 58, 2016.
  7. M. Cheung, X. Li, and J. She, "An efficient computation framework for connection discovery using shared images," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2017.
  8. J. Yu, B. Zhang, Z. Kuang, D. Lin, and J. Fan, "iPrivacy: Image privacy protection by identifying sensitive objects via deep multi-task learning," IEEE Trans. Inf. Forensics Security, vol. 12, no. 5, pp. 1005–1016, May 2017.
  9. D. Bau, B. Zhou, A. Khosla, A. Oliva, and A. Torralba, "Network dissection: Quantifying interpretability of deep visual representations," in Proc. IEEE CVPR, Jul. 2017, pp. 3319–3327
  10. Walmart Wants to Monitor Shoppers’ Facial Expressions. Accessed: 2017. [Online]. Available: https://www.usatoday.com/ story/money/2017/08/08/

Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 101-112
Manuscript Number : CSEIT1835279
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. K. Thyagarajan, R. Porkodi, "Privacy Preservation of Images and Comments in Online Social Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.101-112, July-August-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835279

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