Neuro-fuzzy data mining system for identifying e-commerce related threats / Saibu Aliyu Haruna, Akinyede Raphael Olufemi and Boyinbode Olutayo Kehinde

Haruna, Saibu Aliyu Haruna and Olufemi, Akinyede Raphael and Kehinde, Boyinbode Olutayo (2020) Neuro-fuzzy data mining system for identifying e-commerce related threats / Saibu Aliyu Haruna, Akinyede Raphael Olufemi and Boyinbode Olutayo Kehinde. Malaysian Journal of Computing (MJoC), 5 (2). pp. 537-552. ISSN (eISSN): 2600-8238

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Abstract

E-commerce is driven via Information Technology (IT), especially the web, and it mostly relies upon on innovative technologies that are facilitated by Electronic Data Interchange (EDI) and Electronic Payment over the web. Several researches have shown that e-commerce platforms are compromised by means of phishing and fraud attacks. This has necessitated the importance of trying to find innovative methodologies for protecting e-commerce systems and users from the said threats. This research integrates Case Based Reasoning Module (CBRM) and Adaptive Neuro-Fuzzy Inference System (ANFIS) to spot and categorise e-commerce websites transactions as legitimate or illegitimate by analysing and evaluating some attributes. This may provide an invulnerable platform for e-commerce users. The system which was implemented on MATLAB can be deployed on e-commerce systems and servers to watch e-commerce requests with the aim to identify legitimate and illegitimate websites and transactions. The result of the implementation indicates that the developed system is promising.

Metadata

Item Type: Article
Creators:
Creators
Email
Haruna, Saibu Aliyu Haruna
saibualiy@gmail.com
Olufemi, Akinyede Raphael
roakinyede@futa.edu.ng
Kehinde, Boyinbode Olutayo
okboyinbode@futa.edu.ng
Subjects: Q Science > QA Mathematics > Fuzzy arithmetic
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: (eISSN): 2600-8238
Volume: 5
Number: 2
Page Range: pp. 537-552
Official URL: https://mjoc.uitm.edu.my
Item ID: 48117
Uncontrolled Keywords: e-Commerce, Adaptive Neuro-Fuzzy Inference System (ANFIS), Electronic Data Interchange (EDI)
URI: https://ir.uitm.edu.my/id/eprint/48117

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48117

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