NEURAL NETWORK APPROACH TO DETECT FAKE PROFILES ON SOCIAL NETWORKS

Abstract: In the current age, the public activity of everybody has become related with online interpersonal organizations. These locales have rolled out an extraordinary improvement in the manner we seek after our public activity. Making companions and staying in touch with them and their updates has become more straightforward. In any case, with their fast development, numerous issues like phony profiles, online pantomime have likewise developed. There are no practical arrangements exist to control these issues. In this paper, I thought of a system with which the programmed ID of phony profiles is conceivable and is productive. This structure utilizes grouping strategies like Random Forest Classifier to order the profiles into phony or veritable classes. As this is a programmed location technique, it tends to be applied effectively by online informal communities that have a great many profiles whose profiles can't be inspected physically

Keywords: social media, Facebook, Random Forest Classifier, Classification, Framework, and Dataset