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 |
| Published: |
IIUM Press, International Islamic University Malaysia
2017
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| Subjects: | |
| 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 |
| Summary: | 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. |
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