| Title | Use of Artificial Neural Networks to Identify Fake Profiles |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Hajdu, Gergo, Minoso, Yaclaudes, Lopez, Rafael, Acosta, Miguel, Elleithy, Abdelrahman |
| Conference Name | 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT) |
| Keywords | artificial neural network, Artificial neural networks, cyber physical systems, Facebook friend request, fake profiles identification, Identify Fake Profiles, learning (artificial intelligence), machine learning, malicious users, neural nets, policy-based governance, pubcrawl, Resiliency, security of data, sigmoid function, social media, social network page, social networking (online) |
| Abstract | In this paper, we use machine learning, namely an artificial neural network to determine what are the chances that Facebook friend request is authentic or not. We also outline the classes and libraries involved. Furthermore, we discuss the sigmoid function and how the weights are determined and used. Finally, we consider the parameters of the social network page which are utmost important in the provided solution. |
| DOI | 10.1109/LISAT.2019.8817330 |
| Citation Key | hajdu_use_2019 |
Use of Artificial Neural Networks to Identify Fake Profiles