Edge Computing Security Approaches and Their Influence on Latency Reduction in E-Commerce Payment Networks

Abstract

Edge computing has emerged as a transformative strategy for reducing latency and enhancing user experiences in e-commerce payment networks. By processing transactions and related data closer to the point of origin, retailers and financial institutions can deliver faster responses that minimize checkout abandonment and elevate consumer satisfaction. However, decentralizing infrastructure from core data centers to distributed edge nodes presents new security challenges, especially when handling sensitive information such as payment card data and personal user credentials. This paper examines how security approaches for edge computing can influence latency reduction strategies in modern e-commerce payment systems. Emphasis is placed on robust encryption, secure enclaves, zero-trust policy enforcement, and real-time anomaly detection techniques, all of which must integrate seamlessly with low-latency processing frameworks. The following sections explore architectural considerations, cryptographic protocols, secure data routing, and governance models that unify edge nodes with centralized oversight. Case analyses show that coordinated policy definitions, hardware-assisted safeguards, and machine learning–driven threat monitoring protect cardholder details without compromising the millisecond-level performance gains that edge computing promises. Concluding reflections highlight that balancing security rigor with minimal overhead is paramount: approaches that embed authentication, encryption, and intrusion detection within the edge environment can fortify consumer trust and regulatory compliance while preserving, or even enhancing, the swift payment processing times essential for e-commerce success.