Paper Details

Photo sharing is an attractive feature which popularizes Online Social Networks (OSNs).Unfortunately, it may leak users’ privacy if they are allowed to post, comment, and tag a photo freely. In this paper,we attempt to address this issue and study the scenario when a user shares a photo containing individuals other thanhimself/herself (termed co-photo for short). To prevent possible privacy leakage of a photo, we design a mechanismto enable each individual in a photo be aware of the posting activity and participate in the decision making on thephoto posting. For this purpose, we need an efficient facial recognition (FR) system that can recognize everyone in thephoto. However, more demanding privacy setting may limit the number of the photos publicly available to train theFR system[1]. To deal with this dilemma, our mechanism attempts to utilize users’ private photos to design apersonalized FR system specifically trained to differentiate possible photo co-owners without leaking their privacy.We also develop a distributed consensus based method to reduce the computational complexity and protect theprivate training set. We show that our system is superior to other possible approaches in terms of privacy usingencryption algorithm and opensource. Our mechanism is implemented as a proof of concept Android application onFace book’s platform.

Shradha Neharkar, Manisha Bhor, Nilam Shirsat, “My Security My Right: Control of photograph sharing in Online Social Media: overview”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 10, pp. 88-92, October 2016.