Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 6 , 2022
Privacy Policy – User Uploaded Images on Content Sharing Sites

Author : D.Akhila Reddy 1 K Suresh 2 Prasad B 3

Date of Publication :7th March 2016

Abstract: With the increasing volume of images users share through social sites, maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users share personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent. Toward addressing this need, we propose an Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. We examine the role of social context, image content, and metadata as possible indicators of users’ privacy preferences. We propose a two-level framework which determines the best available privacy policy for the user’s images being uploaded. Our solution relies on an image classification framework for image categories which may be associated with similar policies, and on a policy prediction algorithm to automatically generate a policy for each newly uploaded image, also according to users’ social features.

Reference :

    1. A. Acquisti and R. Gross, “Imagined communities: Awareness, information sharing, and privacy on the facebook,” in Proc. 6th Int. Conf. Privacy Enhancing Technol. Workshop, 2006, pp. 36–58.
    2. R. Agrawal and R. Srikant,“Fast algorithms for mining association rules in large databases,” in Proc. 20th Int. Conf. Very Large Data Bases, 1994, pp. 487–499.
    3. S. Ahern, D. Eckles, N. S. Good, S. King, M. Naaman, and R. Nair, “Over-exposed?: Privacy patterns and considerations in online and mobile photo sharing,” in Proc. Conf. Human Factors Comput. Syst., 2007, pp. 357–366.
    4. M. Ames and M. Naaman, “Why we tag: Motivations for annotation in mobile and online media,” in Proc. Conf. Human Factors Comput. Syst., 2007, pp. 971–980.
    5. A. Besmer and H. Lipford, “Tagged photos: Concerns, perceptions, and protections,” in Proc. 27th Int. Conf. Extended Abstracts Human Factors Comput. Syst., 2009, pp. 4585–4590.
    6. D. G. Altman and J. M. Bland ,“Multiple significance tests: The bonferroni method,” Brit. Med. J., vol. 310, no. 6973, 1995.
    7. J. Bonneau, J. Anderson, and L. Church, “Privacy suites: Shared privacy for social networks,” in Proc. Symp. Usable Privacy Security, 2009.
    8. J. Bonneau, J. Anderson, and G. Danezis, “Prying data out of a social network,” in Proc. Int. Conf. Adv. Soc. Netw. Anal. Mining., 2009, pp.249–254.
    9. H.-M. Chen, M.-H. Chang, P.-C. Chang, M.-C. Tien, W. H. Hsu, and J.-L. Wu, “Sheepdog: Group and tag recommendation for flickr photos by automatic search-based learning,” in Proc. 16th ACM Int. Conf. Multimedia, 2008, pp. 737–740.
    10. M. D. Choudhury, H. Sundaram, Y.-R. Lin, A. John, and D. D. Seligmann, “Connecting content to community in social media via image content, user tags and user communication,” in Proc. IEEE Int. Conf. Multimedia Expo, 2009, pp.1238–1241.

Recent Article