Optimised Data Encryption and Search Efficiency Framework Using Memory Modules for IoT Applications

The proliferation of IoT devices necessitates secure and efficient mechanisms for data encryption and retrieval. This paper presents an optimized framework that leverages AES encryption integrated with memory modules to enhance security and operational efficiency. The proposed system introduces a dynamic key generation mechanism to mitigate key reuse vulnerabilities and incorporates a memory module to achieve reductions in encryption and search execution times by 80% and 79%, respectively, compared to traditional methods. The framework also ensures secure cloud storage of encrypted data and supports privacy-preserving retrieval using trapdoor functions. A Java-based implementation validates the system's scalability, robustness, and platform independence for real-world IoT applications. By addressing key challenges such as data integrity, confidentiality, and low-latency operations, the proposed framework offers a comprehensive solution tailored to the evolving needs of the IoT ecosystem.