Enhanced Security through Distributed Fragmentation and Encryption for Cloud based Data Storage

Integrating cloud computing into organizational data management demands paramount protection of sensitive information. This paper presents a framework to enhance data security through distributed fragmentation and advanced encryption techniques. By segmenting sensitive data into multiple fragments distributed across various cloud storage locations, the approach mitigates risks associated with centralized data repositories. Each fragment is encrypted with robust cryptographic algorithms, ensuring that unauthorized access renders intercepted data unintelligible. This fragmentation not only strengthens security but also improves performance through parallel data processing and retrieval, optimizing resource utilization. Additionally, decentralized storage reduces the impact of single points of failure, enhancing resilience against data loss or breaches. Simulation results demonstrate the effectiveness of this model in countering attack vectors, including data tampering and unauthorized access. Overall, this research contributes to secure cloud storage solutions, offering a robust framework for organizations to protect sensitive information, ultimately fostering trust in cloud technologies and enabling safer data management practices.