Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi

In today's digital landscape, telling the difference between human users and bots has become tricky. To tackle this issue, research focuses on creating a system that uses image analysis to identify and classify entities as either human users or bots. The approach involves collecting a dataset o...

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Bibliographic Details
Main Author:	Rusdi, Muhamad Anif Ikmal
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/96290/1/96290.pdf
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id	my-uitm-ir.96290
record_format	uketd_dc
spelling	my-uitm-ir.962902024-06-04T07:20:23Z Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi 2023 Rusdi, Muhamad Anif Ikmal Neural networks (Computer science) In today's digital landscape, telling the difference between human users and bots has become tricky. To tackle this issue, research focuses on creating a system that uses image analysis to identify and classify entities as either human users or bots. The approach involves collecting a dataset of images, processing the data, and training a model—like a Convolutional Neural Network (CNN)—to accurately distinguish between the two. The study demonstrates the effectiveness of using image analysis, particularly CNNs, in achieving high accuracy rates across various scenarios. The main tasks include gathering data, implementing image analysis techniques, training the model, and evaluating performance. The results emphasize the potential of image analysis-based systems for reliable differentiation, contributing to improved online security measures and prevention of malicious activities. This research aims to provide a straightforward solution to the challenge of distinguishing between human users and bots, with the ultimate goal of enhancing online security, particularly in the context of cybersecurity in Malaysia. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96290/ https://ir.uitm.edu.my/id/eprint/96290/1/96290.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Media Ramlan, Muhammad Atif
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ramlan, Muhammad Atif
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Rusdi, Muhamad Anif Ikmal Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
description	In today's digital landscape, telling the difference between human users and bots has become tricky. To tackle this issue, research focuses on creating a system that uses image analysis to identify and classify entities as either human users or bots. The approach involves collecting a dataset of images, processing the data, and training a model—like a Convolutional Neural Network (CNN)—to accurately distinguish between the two. The study demonstrates the effectiveness of using image analysis, particularly CNNs, in achieving high accuracy rates across various scenarios. The main tasks include gathering data, implementing image analysis techniques, training the model, and evaluating performance. The results emphasize the potential of image analysis-based systems for reliable differentiation, contributing to improved online security measures and prevention of malicious activities. This research aims to provide a straightforward solution to the challenge of distinguishing between human users and bots, with the ultimate goal of enhancing online security, particularly in the context of cybersecurity in Malaysia.
format	Thesis
qualification_level	Bachelor degree
author	Rusdi, Muhamad Anif Ikmal
author_facet	Rusdi, Muhamad Anif Ikmal
author_sort	Rusdi, Muhamad Anif Ikmal
title	Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
title_short	Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
title_full	Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
title_fullStr	Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
title_full_unstemmed	Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi
title_sort	image analysing to differentiate human users or bots using convolutional neural network (cnn) / muhamad anif ikmal rusdi
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Media
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96290/1/96290.pdf
_version_	1804889983258984448

Image analysing to differentiate human users or bots using Convolutional Neural Network (CNN) / Muhamad Anif Ikmal Rusdi

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