A Solution for Multiparty Privacy Conflicts Detection in OSN

Authors(2) :-Muppa Dedeepya, Ch.Ravindra Babu

Multi-Party Privacy Conflicts is a major issue in OSN. from last few years there is lot of change in usage of social media .Information and images shared through Social Media may affect more than one userís privacy -e.g., Information that depict different users, comments that mention different users, events in which different users are invited, etc. In this paper , Many types of privacy management support in present mainstream Social Media foundation makes users unable to appropriately control the sender and receiver. Computational mechanisms that are able to merge the privacy preferences of different users into a single policy for an item can help solve this problem. Merging different userís personal preferences is difficult hence conflicts occur in privacy preferences, so methods to resolve conflicts are needed. Moreover, these techniques need to consider how usersí would actually reach an engagement about a solution to the conflict in order to propose solutions that can be acceptable by all of the users affected by the information to be shared. present approaches are either too demanding or only consider fixed ways of aggregating privacy preferences. Here, we introduce the basic computational procedure to overcome problems in Social Media that is able to adapt to different situations by modeling the concessions that users make to reach a answers to the conflicts. The present results of a user study in which our introduced mechanism outperformed other present approaches in terms of how many times each approach matched usersí action.

Authors and Affiliations

Muppa Dedeepya
PG Scholar, Department of CSE, PACE Institute of Technology and Sciences,Vallur, Prakasam,, Andhrapradesh, India
Ch.Ravindra Babu
Assistant Professor, Department of CSE, PACE Institute of Technology and Sciences,Vallur, Prakasam, Andhrapradesh, India

Social Media, Privacy, Conflicts, Multi-party Privacy, Social Networking Services, Online Social Networks.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1004-1008
Manuscript Number : CSEIT1726300
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Muppa Dedeepya, Ch.Ravindra Babu, "A Solution for Multiparty Privacy Conflicts Detection in OSN", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1004-1008, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726300

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