Social networks fake profiles detection based on account setting and activity
Yasyn Elyusufi, Zakaria Elyusufi, M. Aït Kbir · Proceedings of the 4th International Conference on Smart City Applications · 2019
Social networks have become popular due to the ability to connect people around the world and share media (videos, photos, and communications). The present paper focuses on identifying fake profiles in social media. The approaches to identifying fake social media profiles can be classified into the approaches aimed on analysing profiles data. On social networks, fake profile creation is considered to cause more harm than any other form of cyber crime. This crime has to be detected even before the user is notified about the fake profile creation. Many algorithms and methods have been proposed for the detection of fake profiles. In this paper we will assess the impact of using Decision Tree (DT), and Naïve Bayes (NB) to classify the user profiles into fake and genuine.