Volume 2 - Issue 2, March - April 2026

In recent years, cloud storage has become a vital service for individuals and organizations to store and access data remotely. However, traditional cloud storage systems are centralized, exposing data to risks such as single points of failure, data breaches, and unauthorized access. This paper proposes a blockchain-based decentralized cloud storage system that addresses these limitations. The system incorporates reliable data deduplication and intelligent storage balancing to ensure efficient space utilization, security, and performance. Blockchain technology enhances transparency, immutability, and trustworthiness, while decentralized architecture distributes storage across multiple nodes to increase availability and resilience. This centralization introduces several challenges, including single points of failure, vulnerability to data breaches, server downtime, and the potential for unauthorized access or data manipulation by service providers. To overcome these challenges, this paper proposes a blockchain-based decentralized cloud storage system that integrates advanced mechanisms for data deduplication and intelligent storage management. In this approach, data is not stored on a single centralized server but distributed across multiple nodes within a blockchain network. Moreover, blockchain’s inherent characteristics—transparency, immutability, and consensus-based verification—help build trust among users by ensuring that stored data cannot be altered or deleted without authorization.

G.Shiva, Y.Jahnavi, B.Sai Bhanu, K.Sridhar Reddy,"Real Time Analytics on Low Power Devices Using Deep Learning" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(1244-1248) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.