Cost effective cloud-based data storage scheme with enhanced privacy preserving principles

Abstract

As the convergence of the internet of things (IoT) and cloud computing continues to reshape data management paradigms, ensuring the integrity of vast datasets becomes a critical concern. This research introduces an innovative solution for large-scale IoT-cloud systems, presenting an efficient and secure multi-owner batch integrity checking scheme. The proposed system leverages streamlined cryptographic operations to enhance efficiency and security. The study comprehensively evaluates the proposed system’s proficiency, durability, and validity, focusing on key factors such as computational costs, communication efficiency, and scalability. A comparative analysis with existing schemes suggested solution demonstrates exceptional performance, particularly in reducing computation costs on the server-cloud side. The research comprehensively evaluates the proposed system’s emphasizing factors such as computational costs, communication efficiency, and scalability. A comparative analysis with existing schemes underscores the effective performance of the proposed solution, particularly in terms of reduced computation costs on both the server and cloud side. The study delves into the impact of challenges, smart device users, and clouds on the semi-trust server’s computation time, providing valuable insights into the scalability of the system. This research contributes a robust and resource-efficient solution for multi-owner batch integrity checking tailored to large-scale IoT-cloud systems’ complexities. The adoption of streamlined cryptographic techniques underscores the system’s efficiency and security, making it a significant advancement in the evolving landscape of IoT-driven data management.