Predicting the fraud volume in personal computer using different web browsers

Online banking had grown tremendously in the recent yeats due to the vast development of internet applications on both computer and handheld devices. However, this advancement is faced by equally growing fraud attacks over the last decade. Customers awareness and vender awareness are considered impo...

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Bibliographic Details
Main Authors:	Z, Nuha, Shah, Asadullah
Format:	Article
Language:	English
Published:	Science International 2017
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/58449/ http://irep.iium.edu.my/58449/ http://irep.iium.edu.my/58449/1/nuha-zamarah-2017.pdf

id	iium-58449
recordtype	eprints
spelling	iium-584492017-09-21T03:17:05Z http://irep.iium.edu.my/58449/ Predicting the fraud volume in personal computer using different web browsers Z, Nuha Shah, Asadullah T10.5 Communication of technical information Online banking had grown tremendously in the recent yeats due to the vast development of internet applications on both computer and handheld devices. However, this advancement is faced by equally growing fraud attacks over the last decade. Customers awareness and vender awareness are considered important factors in the study of fraud attacked volume increase. Stringent security standards and multiple defensive security lines have proposed to reduce the fraud attack cases. Neverthless, fraud attacks cases are showing a relentless increase in the past decade. This paper presents fraud attack prediction from a new perspective. Adaptive neuro-fuzzy inference system (INFIS) was utilised for the data collected in the past decades and then used to predict the effect of internet usage rate on the fraud attack volume of different age groups as well as the total fraud volume in the future. Seven different scenarios in this study are considered to be addressing the effect of different web browsers on the fraud volume. Results show that fraud volume would increase with the increasing of using Mozilla, Firefox, Opera, Safari and Chrome and would decrease with the increasing of internet explorer and Netscap Science International 2017-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58449/1/nuha-zamarah-2017.pdf Z, Nuha and Shah, Asadullah (2017) Predicting the fraud volume in personal computer using different web browsers. Since International, 29 (3 (May-June)). pp. 681-685. ISSN 1013-5316 http://www.sci-int.com/pdf/636330332003002754.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Z, Nuha Shah, Asadullah Predicting the fraud volume in personal computer using different web browsers
description	Online banking had grown tremendously in the recent yeats due to the vast development of internet applications on both computer and handheld devices. However, this advancement is faced by equally growing fraud attacks over the last decade. Customers awareness and vender awareness are considered important factors in the study of fraud attacked volume increase. Stringent security standards and multiple defensive security lines have proposed to reduce the fraud attack cases. Neverthless, fraud attacks cases are showing a relentless increase in the past decade. This paper presents fraud attack prediction from a new perspective. Adaptive neuro-fuzzy inference system (INFIS) was utilised for the data collected in the past decades and then used to predict the effect of internet usage rate on the fraud attack volume of different age groups as well as the total fraud volume in the future. Seven different scenarios in this study are considered to be addressing the effect of different web browsers on the fraud volume. Results show that fraud volume would increase with the increasing of using Mozilla, Firefox, Opera, Safari and Chrome and would decrease with the increasing of internet explorer and Netscap
format	Article
author	Z, Nuha Shah, Asadullah
author_facet	Z, Nuha Shah, Asadullah
author_sort	Z, Nuha
title	Predicting the fraud volume in personal computer using different web browsers
title_short	Predicting the fraud volume in personal computer using different web browsers
title_full	Predicting the fraud volume in personal computer using different web browsers
title_fullStr	Predicting the fraud volume in personal computer using different web browsers
title_full_unstemmed	Predicting the fraud volume in personal computer using different web browsers
title_sort	predicting the fraud volume in personal computer using different web browsers
publisher	Science International
publishDate	2017
url	http://irep.iium.edu.my/58449/ http://irep.iium.edu.my/58449/ http://irep.iium.edu.my/58449/1/nuha-zamarah-2017.pdf
first_indexed	2023-09-18T21:22:39Z
last_indexed	2023-09-18T21:22:39Z
_version_	1777411984566779904

Predicting the fraud volume in personal computer using different web browsers

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