z-logo
open-access-imgOpen Access
Privacy Policy Inference for Social Images
Author(s) -
Chaitrali A. Salunke,
Sheetal A. Takale
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016910886
Subject(s) - computer science , inference , data science , computer security , artificial intelligence , internet privacy
Social networking has become an indivisible part of the modern lifestyle. It plays a crucial role in our daily lives. It allows us to communicate with numerous individuals.Popular social networking sites such as Facebook1, LinkedIn2 allow people to get connected from diverse geographic locations. Existing and the emerging social media sites empower users to utilize various interesting features such as sharing photos or information with as many friends as they want, commenting on a text or picture, creating groups and so on. Privacy settings offered by these sites come into picture when a user may not want to share his profile globally or with certain people. Privacy violation is an important issue that needs to be addressed while being active on any social networking site. If the privacy settings provided by the respective site are inadequate, then people may invade your privacy and misuse your information. Going towards this need, utilizing system to compose privacy settings for user’s images is important. Further, the privacy inference policies should be maintained with respect to user profile. Hence, we have decided to develop a system that will help the user to maintain security for images he/she has uploaded on a content sharing site.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom