IIUM Repository

Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS)

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

[img] PDF - Published Version
Restricted to Repository staff only

Download (2MB) | Request a copy


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.

Item Type: Book
Additional Information: 6566/74408
Uncontrolled Keywords: Online banking, Fraud, Adaptive Neuro-Fuzzy Inference System (ANFIS)
Subjects: H Social Sciences > HG Finance
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Asadullah Shah Syed
Date Deposited: 15 Oct 2019 23:36
Last Modified: 15 Oct 2019 23:36
URI: http://irep.iium.edu.my/id/eprint/74408

Actions (login required)

View Item View Item


Downloads per month over past year