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This article summarizes the recent advancement of social networking's fake account detection, which helps the future researcher build a robust model to prevent and identify fake accounts on online social networking.
- Deep Learning Approach for Identification of Fake Profiles in ...
Fake profiles have been developed as social media usage has...
- Fake Profile Detection Using Machine Learning | IEEE ...
In this work, we have proposed a Machine learning based...
- Deep Learning Approach for Identification of Fake Profiles in ...
Apr 10, 2023 · This paper sheds light on the role of fake identities in advanced persistent threats and covers the mentioned approaches of detecting fake social media profiles.
Jan 1, 2018 · Many algorithms and methods, most of which use the huge volume of unstructured data generated from social networks, have been proposed for the detection of fake profiles. This study presents a survey of the existing and latest technical work on fake profile detection.
- Devakunchari Ramalingam, Valliyammai Chinnaiah
- 2017
Fake profiles are generally human-generated or bot-generated or cyborgs, created for spreading rumors, phishing, data breaching, and identity theft. Therefore, in this article, we discuss fake profile detection models. These differentiate between fake profiles and genuine profiles on Twitter based on visible features like followers count ...
- Umita Deepak Joshi, Vanshika, Ajay Pratap Singh, Tushar Rajesh Pahuja, Smita Naval, Gaurav Singal
- 2021
Jun 1, 2020 · 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.
- Putra Wanda, Huang Jin Jie
- 2020
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.
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Can machine learning identify fake profiles?
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In this work, we have proposed a Machine learning based model that can identify fake or bot created accounts accurately. This paper is divided into multiple parts: Introduction, Literature Review, Methodology, Results and Discussion, Conclusion.
