Hybrid Cryptographic Approaches Utilizing Graphical Techniques for Securing Image Processing in IPaaS Cloud Environments

Abstract

This study proposes a robust, mixed cryptographic framework that protects the transfer of image data in cloud environments that utilize Integration Platform as a Service (IPaaS). The suggested system utilizes common cryptographic algorithms, such as AES-256 for block-wise encryption and RSA for secure key exchange, in conjunction with graphical encryption methods, including chaotic pixel scrambling using Lorenz and Henon maps, and graph-based pixel modeling using NetworkX. A multi-layered architecture makes things more confusing and spreads them out while still being fast. AWS KMS or HashiCorp Vault are used to handle keys securely and make it easier to generate, rotate, and store keys. Experimental results showed that the system was very resistant to brute-force, statistical, and differential attacks, with high NPCR (>99%), UACI (~33%), and entropy (~8.0). The encryption framework added very little more time to the transmission (35–45 ms), made packets more reliable, and had high success rates for decryption in cloud contexts. Comparative benchmarks confirmed that the AES+RSA hybrid approach is the best at balancing security strength and operational efficiency. The study finds that the suggested multi-layer cryptographic approach is a scalable, secure, and real-time way to protect picture data in cloud-native workflows that change all the time.