Open AccessTrust Based Fake Node Identification in Social Networking Sites
Author(s) -
A S Spoorthy,
Somnath Sinha
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1123/1/012036
Subject(s) - computer science , identification (biology) , internet privacy , openness to experience , mechanism (biology) , world wide web , social network (sociolinguistics) , node (physics) , social media , computer security , psychology , engineering , social psychology , botany , structural engineering , biology , philosophy , epistemology
In recent years Social Networking is very commonly used for communications. It is the platform where users are free to join and share their data between groups of people. Due to the openness of this network any one can use multiple fake identifications and fraud the people into its group. These types of fake profiles are required to be identified and wipe out from the network. Some of the Social Networking Sites (SNS) that are commonly used are Twitter, Facebook, Instagram, WhatsApp, WeChat etc. These SNSs are already have some mechanism to identify fake profiles and prevent them from such type of malicious activities but are not sufficiently efficient. This paper represents comprehensive literature review for identification mechanism of fake account on Facebook and proposes a new mechanism to stop this type of harmful activities by using graph based activity diagram.