• Dr. V.V. SUNIL KUMAR
• K. SIVA TANAYA

Objective: This paper is aimed to study 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. To overcome this issue, we want build a privacy protection scheme in OSNs. Methods/Statistical analysis:Online social network become most important in day to day user life. People are willing to make friendship with strangers and share, comment, and tag information. In this context, users share a photo which includes other without concern of other privacy. This may lead user privacy leakage. To address this problem, we design a mechanism to enable each individual in a photo be aware of the posting activity and participate in the decision making on the photo posting. We also develop a distributed consensus based method to reduce the computational complexity and protect the private training set. Findings:To evaluate our system we use the database of “Face Recognition Data, University of Essex, UK” to assign training set for each simulated users. The database contains photos for 395 individuals and 20 images per individual with varying poses and facial expressions. Users are assigned with photos from the same individual randomly. Then we apply the one-against-all (OVA) approach and our proposed one against- one (OVO) approach are compared in terms of total computation cost. We can see that the computation cost of the proposed OVO approach is much lower and the efficiency gain is increasing with number of neighbors. Although, we compare both false positive rate and false negative rate of our scheme and the DAG scheme. We observe that false positive rate of our scheme is 10% lower than original DAG scheme on average. Applications/Improvements: we observe our system applicability to other systems to protect the sensible information of other without leakage of users privacy in OSNs.

Facial recognition, Privacy protection, photo sharing, online social network.

"A Privacy Preserving Approach for Secure Photo Sharing in OSNs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.308-317, April-2019, Available :http://www.jetir.org/papers/JETIR1904D41.pdf

"A Privacy Preserving Approach for Secure Photo Sharing in OSNs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp308-317, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D41.pdf