International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 164 - Number 10 |
Year of Publication: 2017 |
Authors: Roshan Kumari, Saurabh Kr. Srivastava |
10.5120/ijca2017913747 |
Roshan Kumari, Saurabh Kr. Srivastava . A Survey on Sockpuppet Detection over Collaborative Projects. International Journal of Computer Applications. 164, 10 ( Apr 2017), 36-39. DOI=10.5120/ijca2017913747
Sockpuppet are the fake identity used by some malicious users. In Wikipedia, there are number of sockpuppets present. Two different online accounts, belongs to the same person are called sockpuppet. Sockpuppets has become significant issues, in which one can have fake identity for some specific purpose or malicious use. Sockpuppet detection are based on binary classification in which given accounts are classified either sockpuppet or non-sockpuppet category. This research synthesizes sockpuppets detection in which various approaches are discussed to identify the fake account and legitimate account.