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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | AUTOMATED DETECTION AND RESOLUTION OF CONFLICTS IN MULTIPARTY PRIVACY MANAGEMENT FOR SOCIAL MEDIA |
| Authors Name: | MINAL GALE , MONALI KACHARE , DHANASHRI WAGH , PRIYA CHINCHOLE |
| Unique Id: | IJSDR1805046 |
| Published In: | Volume 3 Issue 5, May-2018 |
| Abstract: | Hundreds of billions of loaded items in Social media are commonly owned by multiple users, however only the user who uploads the item can establish their privacy (i.e. who can access the item).Things shared through Social Media may influence more than one client's security-e.g., photos that delineate different clients, remarks that specify different clients, occasions in which numerous clients are welcomed, and so forth. The absence of multi-party security administration bolster in current standard Social Media foundations makes clients unfit to properly control to whom these things are as a matter of fact shared or not. Computational mechanisms that are able to combine the privacy preferences of multiple users into a single policy for an item can help resolve this problem. However, merging multiple users’ privacy preferences is a difficult task, because privacy preferences may conflict, so methods to resolve conflicts are needed. Moreover, these methods need to consider how users’ would actually reach an agreement about a solution to the conflict in order to present solutions that can be admissible by all of the users affected by the item to be shared. Current techniques are either too demanding or only consider fixed ways of aggregating privacy preferences. We propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media that is able to acclimate to different situations by creating the concessions that users make to reach a solution to the conflicts. We give tagline to the original sender to overcome on no concession rule. We also recommend friends based on current users interest. |
| Keywords: | Social media, Privacy, Conflicts, Multi-Party Privacy, Social Networking Services, Online Social Networks, Friend Recommendation, User Willingness. |
| Cite Article: | "AUTOMATED DETECTION AND RESOLUTION OF CONFLICTS IN MULTIPARTY PRIVACY MANAGEMENT FOR SOCIAL MEDIA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 5, page no.315 - 324, May-2018, Available :http://www.ijsdr.org/papers/IJSDR1805046.pdf |
| Downloads: | 000337209 |
| Publication Details: | Published Paper ID: IJSDR1805046 Registration ID:180203 Published In: Volume 3 Issue 5, May-2018 DOI (Digital Object Identifier): Page No: 315 - 324 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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