Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria

In the current generation, everyone's social life is now linked with online social networks. These websites have had a significant impact on how we conduct our social life. It's lot simpler to make new acquaintances and keep in touch with them now. But because of their quick development, m...

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Main Author:	Zakaria, Nik Nor Asiah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/96386/1/96386.pdf
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id	my-uitm-ir.96386
record_format	uketd_dc
spelling	my-uitm-ir.963862024-06-05T03:58:10Z Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria 2024 Zakaria, Nik Nor Asiah Neural networks (Computer science) In the current generation, everyone's social life is now linked with online social networks. These websites have had a significant impact on how we conduct our social life. It's lot simpler to make new acquaintances and keep in touch with them now. But because of their quick development, many fresh problems have surfaced, such as malicious individuals, fake profiles, and online impersonation. In this study, we employ an artificial neural network to accurately and automatically identify false profiles. The objective of this system is to investigate the need for Artificial Neural Networks (ANN) in fake profile detection, develop a detection system for fake profiles using ANN, and evaluate the performance of ANN in a fake profile detection system. The dataset used in the study is an existing dataset from GitHub, specifically Fake Instagram Profile Detection using ANN. The training dataset consists of 80%, 556 data of real and fake profiles, while the testing dataset consists of 20%, 140 data of real and fake profiles. We assess the likelihood that a friend request on Instagram is genuine or not. Online social networks that have millions of profiles that can't be manually verified can make use of this. The study can help society detect fake profiles at an early stage and assist them in taking appropriate steps benefiting society from scam activities using fake profiles as well as reducing the number of cybercrime victims which can potentially leading to financial losses. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96386/ https://ir.uitm.edu.my/id/eprint/96386/1/96386.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ismail, Najiahtul Syafiqah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ismail, Najiahtul Syafiqah
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Zakaria, Nik Nor Asiah Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
description	In the current generation, everyone's social life is now linked with online social networks. These websites have had a significant impact on how we conduct our social life. It's lot simpler to make new acquaintances and keep in touch with them now. But because of their quick development, many fresh problems have surfaced, such as malicious individuals, fake profiles, and online impersonation. In this study, we employ an artificial neural network to accurately and automatically identify false profiles. The objective of this system is to investigate the need for Artificial Neural Networks (ANN) in fake profile detection, develop a detection system for fake profiles using ANN, and evaluate the performance of ANN in a fake profile detection system. The dataset used in the study is an existing dataset from GitHub, specifically Fake Instagram Profile Detection using ANN. The training dataset consists of 80%, 556 data of real and fake profiles, while the testing dataset consists of 20%, 140 data of real and fake profiles. We assess the likelihood that a friend request on Instagram is genuine or not. Online social networks that have millions of profiles that can't be manually verified can make use of this. The study can help society detect fake profiles at an early stage and assist them in taking appropriate steps benefiting society from scam activities using fake profiles as well as reducing the number of cybercrime victims which can potentially leading to financial losses.
format	Thesis
qualification_level	Bachelor degree
author	Zakaria, Nik Nor Asiah
author_facet	Zakaria, Nik Nor Asiah
author_sort	Zakaria, Nik Nor Asiah
title	Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
title_short	Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
title_full	Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
title_fullStr	Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
title_full_unstemmed	Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria
title_sort	fake profile detection using artificial neural network (ann) / nik nor asiah zakaria
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96386/1/96386.pdf
_version_	1804889987008692224

Fake profile detection using Artificial Neural Network (ANN) / Nik Nor Asiah Zakaria

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