Secure Edge-Based IoT Integration in Mobile-Enabled Real-Time Payments

The rapid evolution of mobile-enabled real-time payment systems, coupled with the proliferation of Internet of Things (IoT) devices, necessitates robust security and efficiency measures. Traditional cloud-centric payment architectures face challenges such as high latency, data exposure, and security vulnerabilities. This paper proposes a secure edge-based IoT integration framework to enhance the security, scalability, and real-time processing of mobile payments. By leveraging edge computing, blockchain technology, and AI-driven anomaly detection, the framework reduces latency, optimizes transaction processing, and strengthens security through decentralized authentication and encryption mechanisms. The proposed approach mitigates cyber threats, ensures data integrity, and enhances system resilience while maintaining seamless user experience. Performance evaluations demonstrate reduced transaction delays, improved security, and increased scalability, making it a viable solution for next-generation mobile payment ecosystems.

Authors

Publication Details

Journal
Journal of Electrical Systems
Published
2025-02-13
DOI
https://doi.org/10.52783/jes.8813
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Edge-Based IoT Integration in Mobile-Enabled Real-Time Payments

V. Govindasamy
1 links
Journal of Electrical Systems
IoT and Edge/Fog Computing
article

Secure Edge-Based IoT Integration in Mobile-Enabled Real-Time Payments

V. Govindasamy
article en

Abstract

The rapid evolution of mobile-enabled real-time payment systems, coupled with the proliferation of Internet of Things (IoT) devices, necessitates robust security and efficiency measures. Traditional cloud-centric payment architectures face challenges such as high latency, data exposure, and security vulnerabilities. This paper proposes a secure edge-based IoT integration framework to enhance the security, scalability, and real-time processing of mobile payments. By leveraging edge computing, blockchain technology, and AI-driven anomaly detection, the framework reduces latency, optimizes transaction processing, and strengthens security through decentralized authentication and encryption mechanisms. The proposed approach mitigates cyber threats, ensures data integrity, and enhances system resilience while maintaining seamless user experience. Performance evaluations demonstrate reduced transaction delays, improved security, and increased scalability, making it a viable solution for next-generation mobile payment ecosystems.

Journal of Electrical SystemsVol. 21(1s)
Openalex Percentile: Top 85%
IoT and Edge/Fog Computing
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