ENHANCING PAYMENT PROCESSING SYSTEMS WITH DISTRIBUTED COMPUTING AND API MANAGEMENT IN CLOUD ENVIRONMENTS
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Abstract
The generality of Payment processing lies in the fact that the sophistication and number of digital payments are growing ever higher. This paper aims at analyzing the application of distributed computing and the higher level API management in clouds for scalability, security and performance improvement. Reports show that distributed architectures slash latency by 40% and guarantee 95% readiness during Transaction bursts. Furthermore, tokenization and TLS 1.3 encryption resulted in 70% congestion of fraud incidence and enhancement of the secure handshake by 35%. Accurate real-time fraud detection was established with accuracy of 99.8%, and active scalability mechanism which enhanced the system to handle peak transaction rate of 50000 TPS. The paper also covers example monitoring frameworks that have brought the time required to diagnose errors down to the 25-30%, which illustrates the role of observability in sound payment systems. The conversation progresses towards the future research issues such as Integrated Artificial Intelligence for API management, resource optimization through Blockchain and Green IT. This work sheds light on how secure and scalable electronic payment systems could be developed with regard to the current technological requirements.
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