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A semantic rule based digital fraud detection.

Mansoor Ahmed1,2, Kainat Ansar1, Cal B Muckley3

  • 1Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan.

Peerj. Computer Science
|August 26, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an ontology-based model for financial fraud deterrence, enhancing internet banking security. It utilizes an Intimation Rule Based (IRB) algorithm to proactively prevent digital fraud attempts.

Keywords:
Alert modelDatabaseDigital fraudKnowledge baseSemantic web

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Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Digital fraud poses significant risks to consumers and the financial sector, exacerbated by increased reliance on internet banking.
  • Current fraud detection methods are often reactive and costly, highlighting the need for proactive deterrence strategies.
  • Improving the capability of financial systems to withstand fraudulent attempts is a critical research challenge.

Purpose of the Study:

  • To propose an ontology-based model for enhanced financial fraud detection and deterrence.
  • To focus on the challenging problem of fraud deterrence, moving beyond reactive detection.
  • To develop a system capable of withstanding fraudulent attempts through improved security measures.

Main Methods:

  • Development of an Intimation Rule Based (IRB) alert generation algorithm.
  • Classification of IRB alerts based on predefined severity levels.
  • Integration of a rich domain knowledge base and rule-based reasoning within the proposed model.

Main Results:

  • The proposed model offers a proactive approach to financial fraud deterrence.
  • The IRB algorithm provides a structured method for generating and classifying fraud alerts.
  • The ontology-based framework enhances the system's ability to understand and counter complex fraud patterns.

Conclusions:

  • The ontology-based financial fraud detection and deterrence model presents a novel solution to combatting digital fraud.
  • The IRB alert system, coupled with a robust knowledge base, improves a system's resilience against fraudulent activities.
  • This research contributes to advancing fraud deterrence capabilities in the financial industry through intelligent systems.