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Financial Fraud Detection in Plastic Payment Cards using Isolation Forest Algorithm

Authors: Ankaj Kumar; , Gouri Sankar Mishra; , Parma Nand,; Madhav Singh Chahar,; Sonu Kumar Mahto;

Financial Fraud Detection in Plastic Payment Cards using Isolation Forest Algorithm

Abstract

The need for technology has always found space in Financial Transaction as the number of fraud in financial transactions increases day by day. In this research we have proposed a new methodology by using the isolation forest algorithm and local outlier detection algorithm to detect the financial fraud. A standard data set is used in experimentation to classify a transaction occurred is a fraudulent or not. We have used neural networks and machine learning for classification. We have focused on the deployment of anomaly detection algorithms that is Local Outlier Factor and Isolation Forest algorithm (IFA) on financial fraud transactions data.

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Subjects by Vocabulary

Microsoft Academic Graph classification: Isolation (health care) Computer science Computer security computer.software_genre Payment card computer Financial fraud

Keywords

General Computer Science, 100.1/ijitee.G88730510721, Mechanics of Materials, In This Research We Have Proposed A New Methodology By Using The Isolation Forest Algorithm And Local Outlier Detection Algorithm To Detect The Financial Fraud., 2278-3075, Electrical and Electronic Engineering, Civil and Structural Engineering

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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