Abstract:

In today's digital life, the dependency of computer technology is increasing day-by-day. So, the main target of hackers are social media networks such as Facebook, Instagram, and twitter. So, this is being a major cyber security problem these days. This intends to build an Artificial Intelligence solution to prevent the dangers of a bot in the form of fake profile on social media. We are using deep learning algorithm which is Artificial Neural Network, so it determines the possibility of social media profile to be fake or genuine. The popularity of social networks has skyrocketed in recent years, with a glut of personal information being posted to sites like Facebook and LinkedIn by users. But this unchecked expansion has opened the door to problems such as false profiles and malicious actors. Fake accounts can be used for malicious purposes such as spreading spam or committing fraud, so it's important to have systems in place that can detect these fraudulent accounts. In this paper, we focus on social networks and analyse methods of detecting fake profiles, comparing them across various applications and measuring performance criteria.

Description:

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