Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique

Vishal Bhatnagar; Kapil Kumar; Shyla

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Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique

机译：信用卡欺诈事务检测系统使用基于神经网络的序列分类技术

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The movement towards digital era introduces centralization of information, web services, applications, and devices. The fraudster keeps an eye over ongoing transaction and forges data by using different techniques as traffic monitoring, session hijacking, phishing, and network bottleneck. In this study, the authors design a framework using deep learning algorithm to suspect the fraudulence transaction and evaluate the performance of the proposed system by updating data repositories. The neural network-based sequence classification technique is used for fraud detection of credit card transactions by including threshold value to measure the deviation of transaction. The reconstruction error (MSE) and predefined threshold value of 4.9 is used for determination of fraudulent transactions.

机译：向数字时代的运动介绍了信息，Web服务，应用程序和设备的集中化。欺诈者通过使用不同的技术作为交通监控，会话劫持，网络钓鱼和网络瓶颈，对持续的交易并伪造数据。在这项研究中，作者设计了一种使用深度学习算法设计框架，以怀疑欺诈事务并通过更新数据存储库来评估所提出的系统的性能。基于神经网络的序列分类技术用于通过包括阈值来测量事务偏差的阈值来欺诈检测信用卡交易。 4.9的重建误差（MSE）和预定义阈值用于确定欺诈性交易。

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来源
《International journal of open source software & processes》 |2021年第1期|21-40|共20页
作者
Vishal Bhatnagar; Kapil Kumar; Shyla;
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作者单位

Ambedkar Institute of Advanced Communication Technologies and Research;

Ambedkar Institute of Advanced Communication Technologies and Research;

Ambedkar Institute of Advanced Communication Technologies and Research;

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原文格式 PDF
正文语种 eng
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关键词
Autoencoder; Deep Learning; Hidden Markov Model; Naïve Bayes; Random Forest; Support Vector Machine;

机译：autoencoder;深入学习;隐藏的马尔可夫模型;天真贝叶斯;随机森林;支持向量机;

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专利

1. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions [J] . Van Vlasselaer Veronique, Bravo Cristian, Caelen Olivier, Decision support systems . 2015,第JULa期

机译：APATE：使用基于网络的扩展自动检测信用卡交易欺诈的新方法
2. Secure Mechanism for Credit/Debit Card Transaction Fraud Detection by using Fingerprint Authentication System [J] . Priyanka A. Jamdar, Supriya K. Bendale, Deepali A. Durgawale International journal of computer science and network security . 2016,第3期

机译：使用指纹认证系统的信用卡/借记卡交易欺诈检测安全机制
3. Sequence classification for credit-card fraud detection [J] . Jurgovsky Johannes, Granitzer Michael, Ziegler Konstantin, Expert Systems with Application . 2018,第JUNa期

机译：信用卡欺诈检测的序列分类
4. Fraud detection in credit card transaction using machine learning techniques [C] . Imane SADGALI, Nawal SAEL, Fouzia BENABBOU International Conference on Smart Systems and Data Science . 2019

机译：使用机器学习技术进行信用卡交易中的欺诈检测
5. Credit card fraud detection with discrete choice models and misclassified transactions. [D] . Jha, Sanjeev. 2009

机译：使用离散选择模型和错误分类的交易进行信用卡欺诈检测。
6. An Adaptive Approach on Credit Card Fraud Detection Using Transaction Aggregation and Word Embeddings [O] . Ali Yeşilkanat, Barış Bayram, Bilge Köroğlu, -1

机译：基于交易聚合和词嵌入的自适应信用卡欺诈检测方法
7. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions [O] . Van Vlasselaer Véronique, Bravo Cristián, Caelen Olivier, 2015

机译：APATE：使用基于网络的扩展自动检测信用卡交易欺诈的新方法

Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique

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