Published Paper Details:

Social networking sites such as Facebook, Twitter, histogram, etc. are extremely famous among people. Users always interact with their friends via these social networks sites or media. They share their personal and public information using these social networks. an immense number of people use social networking sites due to their attractiveness.This fame causes problems to the websites due to the creation of fake accounts. Theowners of fake accounts pull out personal information about other people and spreadthe fake data on social networks. In our proposed plan, we propose machine learning techniques such as Neural Networks and SVM for detecting fake accounts on Facebook or Twitter, or Twitter. Different data mining tools have been used for the simulation of the algorithm and the obtained results are presented by the proposed plan. Data mining tool which allows quick user interaction with a simple tool for the identification of fake accounts from available data. In this, we classify the data using the above machine learning techniques, which identify the fake accounts on the social sites