Benford's Law and Deep Learning Autoencoders: An approach for Fraud Detection of Credit card Transactions in Social Media

Kurien, Kaithekuzhical Leena; Chikkamannur, Ajeet A.

doi:10.1109/rteict46194.2019.9016804

2019 4th International Conference on Recent Trends on Electronics, Information, Communication &Amp; Technology (RTEICT) 2019

DOI: 10.1109/rteict46194.2019.9016804

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Benford's Law and Deep Learning Autoencoders: An approach for Fraud Detection of Credit card Transactions in Social Media

Kaithekuzhical Leena Kurien

Ajeet A. Chikkamannur²

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2022

2024

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Cited by 4 publications

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Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization

Charoenwong

Reddy

2022

PLoS ONE

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We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford’s Law, a commonly used tool in forensic analytics. We evaluate the performance around the 2016 Indian Demonetization, which affects the distribution of legal tender notes in India, and find that models using only pre-2016 data or post-2016 data for both training and testing data had F1 score ranges around 90%, suggesting that these models and Benford’s law criteria contain meaningful information for detecting bribe payments. However, the performance for models trained in one regime and tested in another falls dramatically to less than 10%, highlighting the role of the institutional setting when using financial data analytics in an environment subject to regime shifts.

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Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization

Charoenwong

Reddy

2022

PLoS ONE

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Karar Ağacı Destekli Hile Tespiti ve Bir Uygulama

GÜR>

2023

Alanya Akademik Bakış

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Çalışmada, Sertifikalı Hile Denetçileri Birliği’nin (ACFE) hile ağacında yer alan ve işletmelerde sıklıkla karşılaşılan hileli ödemelerin verdiği zararı azaltmak için makine öğrenmesi yönteminin kullanıldığı bir uygulama ile hile tespit sürecine katkının sağlanması amaçlanmıştır. Bu amaçla, elde edilmek istenen çıktılar için Python’da bir uygulama sistemi tasarlanmıştır. Çalışmada, bir bankaya ait normal işlemler ile hileli işlemlerin yer aldığı yapay veri setinden yararlanılmıştır. Yöntem olarak kullanılmasına karar verilen Karar Ağacı tekniğiyle önce sınıf etiketleri bilinen bir veri setiyle ana model oluşturulmuş, sonra etiketsiz bir veri seti üzerinde modelin test edilmesi sağlanmıştır. Karar ağacı tekniğinin modeli, %97,1 doğruluk, %98,4 f1-skor, %98,9 kesinlik ve %98 duyarlılık değerlerini elde etmiştir. Çalışma, karar ağacı tekniğinin tahmin aşamasında ürettiği hatalı sınıf etiketlerinin azaltılması açısından iyileştirmeye açık olup, diğer tekniklerle karşılaştırılarak da geliştirilebilir.

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Credit Card Fraud Detection

Prof. Dipali Dube,

Siddhesh Kharge,

Abhay Nighot

et al. 2024

IJARSCT

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The issue of credit card fraud presents a notable concern within the financial sector, leading to considerable financial losses for both financial institutions and consumers. To address this challenge, this study investigates the application of machine learning methods for detecting credit card fraud. We explore the performance of diverse ma- chine learning algorithms on an actual dataset and suggest an ensemble-based approach that harnesses the strengths of multiple models. Our experimental outcomes demon- strate the effectiveness of machine learning in accurately identifying fraudulent transactions while minimizing false positives.

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Benford's Law and Deep Learning Autoencoders: An approach for Fraud Detection of Credit card Transactions in Social Media

Cited by 4 publications

References 1 publication

Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization

Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization

Karar Ağacı Destekli Hile Tespiti ve Bir Uygulama

Credit Card Fraud Detection

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