FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer

There are a lot of people facing scams and frauds each day throughout the year, everywhere around the world. While scam or a fraud can be a civil wrong or even a criminal wrong, a lot of the con artist are still at large. This is because scammers have honed their craft over years and years of trial...

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Bibliographic Details
Main Author:	Syed Hedzer, Syed Muhamad Danial
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2019
Subjects:	Computer software Web-based user interfaces. User interfaces (Computer systems) T Technology (General)
Online Access:	http://ir.uitm.edu.my/id/eprint/24101/ http://ir.uitm.edu.my/id/eprint/24101/1/TD_SYED%20MUHAMAD%20DANIAL%20SYED%20HEDZER%20M%20CS%2019_5.pdf

id	uitm-24101
recordtype	eprints
spelling	uitm-241012019-05-29T04:17:54Z http://ir.uitm.edu.my/id/eprint/24101/ FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer Syed Hedzer, Syed Muhamad Danial Computer software Web-based user interfaces. User interfaces (Computer systems) T Technology (General) There are a lot of people facing scams and frauds each day throughout the year, everywhere around the world. While scam or a fraud can be a civil wrong or even a criminal wrong, a lot of the con artist are still at large. This is because scammers have honed their craft over years and years of trial and error. Currently, there are not enough or well-equipped platform as a place of reference where online shopper can go to when doing online shopping. Therefore, the proposed project have been developed which is FRAUD.MY: A crowdsourcing web application to detect scammer with Algolia and Google Extension Plugin. FRAUD.MY helps in providing online shoppers a place of reference when doing online shopping. With its search capabilities powered by Algolia Search Engine API, users can swiftly search any details regarding a scammer. FRAUD.MY is also equipped with a Google Extension Plugin where users can search without the hassle of going through FRAUD.MY itself. The developed web application received positive feedbacks after the evaluation with the functionality and usability testing was conducted. The network performance of FRAUD.MY was also evaluated in terms of page render time that was within 0.1535 milliseconds when using Digi. FRAUD.MY enables the users to access it anywhere at any time. For future works, it is recommended that FRAUD.MY integrates with the reports from other websites and from the authorities. On the other hand, enabling FRAUD.MY to search the approximate string matching will make it more efficient. Faculty of Computer and Mathematical Sciences 2019 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/24101/1/TD_SYED%20MUHAMAD%20DANIAL%20SYED%20HEDZER%20M%20CS%2019_5.pdf Syed Hedzer, Syed Muhamad Danial (2019) FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Computer software Web-based user interfaces. User interfaces (Computer systems) T Technology (General)
spellingShingle	Computer software Web-based user interfaces. User interfaces (Computer systems) T Technology (General) Syed Hedzer, Syed Muhamad Danial FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
description	There are a lot of people facing scams and frauds each day throughout the year, everywhere around the world. While scam or a fraud can be a civil wrong or even a criminal wrong, a lot of the con artist are still at large. This is because scammers have honed their craft over years and years of trial and error. Currently, there are not enough or well-equipped platform as a place of reference where online shopper can go to when doing online shopping. Therefore, the proposed project have been developed which is FRAUD.MY: A crowdsourcing web application to detect scammer with Algolia and Google Extension Plugin. FRAUD.MY helps in providing online shoppers a place of reference when doing online shopping. With its search capabilities powered by Algolia Search Engine API, users can swiftly search any details regarding a scammer. FRAUD.MY is also equipped with a Google Extension Plugin where users can search without the hassle of going through FRAUD.MY itself. The developed web application received positive feedbacks after the evaluation with the functionality and usability testing was conducted. The network performance of FRAUD.MY was also evaluated in terms of page render time that was within 0.1535 milliseconds when using Digi. FRAUD.MY enables the users to access it anywhere at any time. For future works, it is recommended that FRAUD.MY integrates with the reports from other websites and from the authorities. On the other hand, enabling FRAUD.MY to search the approximate string matching will make it more efficient.
format	Student Project
author	Syed Hedzer, Syed Muhamad Danial
author_facet	Syed Hedzer, Syed Muhamad Danial
author_sort	Syed Hedzer, Syed Muhamad Danial
title	FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
title_short	FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
title_full	FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
title_fullStr	FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
title_full_unstemmed	FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer
title_sort	fraud.my: a crowdsourcing web application to detect scammers with algolia and google extension plugin / syed muhamad danial syed hedzer
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/24101/ http://ir.uitm.edu.my/id/eprint/24101/1/TD_SYED%20MUHAMAD%20DANIAL%20SYED%20HEDZER%20M%20CS%2019_5.pdf
first_indexed	2023-09-18T23:11:52Z
last_indexed	2023-09-18T23:11:52Z
_version_	1777418856565833728

FRAUD.MY: a crowdsourcing web application to detect scammers with algolia and google extension plugin / Syed Muhamad Danial Syed Hedzer

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