Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS)
Online banking is growing tremendously in recent years. This is attributed to the explosion in internet technologies on both computer and handheld-devices platforms. Unfortunately, the growth of online banking is accompanied by a persistent growth of attacks in the form of phishing and malware...
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| Format: | Book |
| Language: | English |
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IIUM Press, International Islamic University Malaysia
2017
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| Online Access: | http://irep.iium.edu.my/74408/ http://irep.iium.edu.my/74408/1/74408_Predicting%20online%20banking%20fraud%20using%20adaptive%20neuro-fuzzy%20inference%20system%20%28ANFIS%29.pdf |
| _version_ | 1848787957594456064 |
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| author | Zammarah, Nuha Abdullah Shah, Asadullah |
| author_facet | Zammarah, Nuha Abdullah Shah, Asadullah |
| author_sort | Zammarah, Nuha Abdullah |
| building | IIUM Repository |
| collection | Online Access |
| description | Online banking is growing tremendously in recent years. This is attributed to the explosion in
internet technologies on both computer and handheld-devices platforms. Unfortunately, the
growth of online banking is accompanied by a persistent growth of attacks in the form of
phishing and malware. Therefore, ensuring security of personal data during transactions is of
utmost concern. Security standards have become more stringent in order to counter the growth
rate of online fraud. Multiple defensive security lines have also been proposed to reduce the
rate of attacks. Customer and vendor awareness are considered important in the fight against
online fraud. Technical solutions such as online bank coders/decoders are further presented as
a solution to fraud. Nevertheless, despite all the efforts involved, fraud is still increasing. This
relentless growth in online fraud has provoked this work, which seeks to deal with fraud from
a different perspective. |
| first_indexed | 2025-11-14T17:33:11Z |
| format | Book |
| id | iium-74408 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:33:11Z |
| publishDate | 2017 |
| publisher | IIUM Press, International Islamic University Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-744082019-10-15T15:36:58Z http://irep.iium.edu.my/74408/ Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) Zammarah, Nuha Abdullah Shah, Asadullah HG Finance Online banking is growing tremendously in recent years. This is attributed to the explosion in internet technologies on both computer and handheld-devices platforms. Unfortunately, the growth of online banking is accompanied by a persistent growth of attacks in the form of phishing and malware. Therefore, ensuring security of personal data during transactions is of utmost concern. Security standards have become more stringent in order to counter the growth rate of online fraud. Multiple defensive security lines have also been proposed to reduce the rate of attacks. Customer and vendor awareness are considered important in the fight against online fraud. Technical solutions such as online bank coders/decoders are further presented as a solution to fraud. Nevertheless, despite all the efforts involved, fraud is still increasing. This relentless growth in online fraud has provoked this work, which seeks to deal with fraud from a different perspective. IIUM Press, International Islamic University Malaysia 2017 Book PeerReviewed application/pdf en http://irep.iium.edu.my/74408/1/74408_Predicting%20online%20banking%20fraud%20using%20adaptive%20neuro-fuzzy%20inference%20system%20%28ANFIS%29.pdf Zammarah, Nuha Abdullah and Shah, Asadullah (2017) Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS). IIUM Press, International Islamic University Malaysia, Kuala Lumpur, Malaysia. ISBN 978-967-418-791-0 |
| spellingShingle | HG Finance Zammarah, Nuha Abdullah Shah, Asadullah Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title | Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title_full | Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title_fullStr | Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title_full_unstemmed | Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title_short | Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS) |
| title_sort | predicting online banking fraud using adaptive neuro-fuzzy inference system (anfis) |
| topic | HG Finance |
| url | http://irep.iium.edu.my/74408/ http://irep.iium.edu.my/74408/1/74408_Predicting%20online%20banking%20fraud%20using%20adaptive%20neuro-fuzzy%20inference%20system%20%28ANFIS%29.pdf |