Securing Cloud Infrastructure In Banking Using Encryption-Driven Strategies For Data Protection And Compliance

Abstract

In modern banking, securing sensitive financial data while maintaining scalability and compliance is a critical challenge. This paper proposes a secure and scalable cloud-based banking data processing framework that ensures data integrity, regulatory compliance, and operational efficiency. The framework incorporates multi-source data collection from core banking systems, mobile and internet banking, CRM systems, ATMs, and third-party APIs. Collected data undergoes pre-processing, including data cleaning, standardization, and anonymization, ensuring consistency and privacy compliance. Triple DES (3DES) encryption is applied before storage, securing data against unauthorized access. Performance evaluations indicate linear encryption complexity, with encryption time reaching 18 seconds for 1000 files, while response time exhibits exponential growth, peaking at 8000 ms for 9 files, signalling potential performance bottlenecks. Future enhancements include AES-256 encryption for faster processing, AI-based fraud detection, and multi-cloud deployment for improved redundancy and cost efficiency. This framework provides a robust, scalable, and secure solution for modern banking institutions, ensuring optimal data protection and cloud resource utilization.