Open AccessSecrecy Regulation and Obstruction of Photo Theft on Social Platform
Author(s) -
Mary Linda,
C. Anuradha,
S. Pothumani,
I Linda
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1077.1292s419
Subject(s) - upload , internet privacy , the internet , computer science , world wide web , social network (sociolinguistics) , social media , secrecy , set (abstract data type) , internet users , image sharing , computer security , image (mathematics) , programming language , artificial intelligence
Nowadays, People are well-connected to one another in Social Networks. Usage of Internet and involvement in Online Social Platforms are increasing day by day. People sharing their personal information in these platforms. Even, they started Uploading their Photo in the Internet and it became very common among the Internet users. Without understanding the risk, user involved in sharing their personal details. Some fraudulent users uploading another user’s photo without their knowledge. They are getting photos of others in many ways such as by taking photos using their mobile cameras, collecting images from Social networks, stealing images from the theft mobile. They are posting the photos in the Social media applications which are stored enduringly in the database. This results in the misuse of photo and involved in many criminal activities. To overcome this security problem, a competent face recognition system is needed which identify the user in the photo. To handle this, a set of users, friends list and their private photographs. This system accomplished as an evidence of approach in social network on Facebook application.