Trust Based Fake Node Identification in Social Networking Sites

Autor: Somnath sinha, A S Spoorthy
Rok vydání: 2021
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 1123:012036
ISSN: 1757-899X
1757-8981
Popis: 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.
Databáze: OpenAIRE