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Apr 19, 2022 · Add this topic to your repo. To associate your repository with the fake-profile-detection topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Apr 10, 2023 · Sri Raghavendra. The pervasive presence of fake profiles on social media platforms poses significant threats to user trust and online community integrity. This paper addresses the multifaceted ...
This article aims to summarize the recent advancement in the fake account detection methodology on social networking websites. Over the past decade, social networking websites have received huge attention from users all around the world. As a result, popular websites such as Facebook, Twitter, LinkedIn, Instagram, and others saw an unexpected rise in registered users. However, researchers claim that all registered accounts are not real; many of them are fake and created for specific purposes ...
- Pradeep Kumar Roy, Shivam Chahar
- 2020
These days, social media has a significant impact on everyone’s life. Most people frequently utilize social media platforms. Each of these social media platforms offers benefits and drawbacks, as well as security risks for our information. To determine who poses threats on these platforms, it is necessary to distinguish between the real and fake social media profiles. There are traditionally used various methods for identifying fake social media accounts. But these platforms need to be ...
Apr 5, 2023 · Hence, the proposed approach is efficient in detecting fake profiles. View. Show abstract. Fake news detection within online social media using supervised artificial intelligence algorithms.
Fake profiles have been developed as social media usage has increased, which can result in identity theft, cyberbullying, and online fraud. In order to secure internet users, efficient phony profile detection systems are required. In this study, we assess the efficacy of three well-known machine-learning algorithms and deep learning methods for the detection of fake profiles such as Support Vector Machines (SVM), Random Forest, and Neural Networks.The dataset aided for training and testing ...
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Why do we need a phony profile detection system?
How to detect fake profiles in OSN?
Can social networking detect fake accounts?
What is the output of a fake profile?
Jun 1, 2020 · 1. We introduce a novel method for detecting fake profiles in the OSN by utilizing a deep learning algorithm. DeepProfile is a way to predict fake accounts as soon as possible before the fake accounts stay and interact with the system. The model trains the engineered features of the OSN accounts.
