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January 1, 2026International Journal of Ad Hoc and Ubiquitous ComputingOpen Access

Edge-Cloud Integrated Fraud Detection for E-Commerce Transactions Using Hybrid Siamese-LSTM Model

Winner Pulakhandam Vallu Visrutatma Rao Pramod Begur Nagaraj Archana Chaluvadi Priyan Malarvizhi Kumar

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Key Points

This research aims to develop an effective fraud detection system for e-commerce transactions using a hybrid model.
Utilized a hybrid Siamese-LSTM model for better pattern recognition in transaction data.
Integrated edge-cloud computing architecture to enhance processing speed and efficiency.
Analyzed e-commerce transaction datasets to assess model performance.
Achieved a significant reduction in fraud rates compared to traditional methods.
Demonstrated improved accuracy in fraud detection with a lower false positive rate.
Showed enhanced processing speed due to edge-cloud integration.

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Implication

Evaluates fraud detection in e-commerce transactions, suggesting improved security measures.

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Cite This Study

Pulakhandam et al. (2026) studied this question.

synapsesocial.com/papers/6a13e78b0e02ee3982d32343 https://doi.org/10.1504/ijahuc.2026.10078656

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