Ensuring Confidentiality and Integrity in Cloud Storage using AES Encryption and SHA-256 Hashing

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Autores principales: Anuja Chincholkar, Anuj Londhe, Mayank Joshi, Parth Gole, Saniya Mirgale
Formato: Recurso digital
Publicado: Zenodo 2025
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author Anuja Chincholkar
Anuj Londhe
Mayank Joshi
Parth Gole
Saniya Mirgale
author_facet Anuja Chincholkar
Anuj Londhe
Mayank Joshi
Parth Gole
Saniya Mirgale
contents Cloud computing has become a transformative technology offering scalable, flexible, and cost-efficient solutions for data storage, processing, and management. However, despite its widespread adoption, it faces major security challenges related to maintaining data confidentiality, integrity, and availability. Issues such as data breaches, unauthorized access, and malicious tampering are particularly critical in sectors like healthcare, finance, and e-learning, where data privacy is essential. To address these concerns, this research proposes a hybrid cryptographic framework that integrates Advanced Encryption Standard (AES-256) for data encryption and Secure Hash Algorithm (SHA-256) for integrity verification. The system was implemented and evaluated using Amazon Web Services (AWS), utilizing S3 for storage and Identity and Access Management (IAM) for access control. Files of various sizes—text, images, and multimedia—were encrypted on a MacBook Air M2 before being uploaded. Key performance metrics such as encryption/decryption time, hashing time, upload/download latency, and system resource utilization were analyzed alongside security tests for hash verification, unauthorized access detection, and tampering simulations. The results confirm that combining AES-256 and SHA-256 ensures robust, scalable, and reliable data protection in cloud environments. This dual-layer approach secures data confidentiality and integrity without significantly affecting performance, making it practical for real-world applications. The study also addresses existing research gaps, including dynamic data protection and large dataset optimization, while laying the foundation for future enhancements like multi-cloud support, adaptive access control, and integration with intelligent threat detection systems.
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spellingShingle Ensuring Confidentiality and Integrity in Cloud Storage using AES Encryption and SHA-256 Hashing
Anuja Chincholkar
Anuj Londhe
Mayank Joshi
Parth Gole
Saniya Mirgale
Cloud computing; Data security; AES-256 encryption; SHA-256 hashing; Confidentiality; Integrity; AWS S3; Identity and Access Management (IAM); Secure cloud storage; Hybrid cryptography; Performance evaluation.
Cloud computing has become a transformative technology offering scalable, flexible, and cost-efficient solutions for data storage, processing, and management. However, despite its widespread adoption, it faces major security challenges related to maintaining data confidentiality, integrity, and availability. Issues such as data breaches, unauthorized access, and malicious tampering are particularly critical in sectors like healthcare, finance, and e-learning, where data privacy is essential. To address these concerns, this research proposes a hybrid cryptographic framework that integrates Advanced Encryption Standard (AES-256) for data encryption and Secure Hash Algorithm (SHA-256) for integrity verification. The system was implemented and evaluated using Amazon Web Services (AWS), utilizing S3 for storage and Identity and Access Management (IAM) for access control. Files of various sizes—text, images, and multimedia—were encrypted on a MacBook Air M2 before being uploaded. Key performance metrics such as encryption/decryption time, hashing time, upload/download latency, and system resource utilization were analyzed alongside security tests for hash verification, unauthorized access detection, and tampering simulations. The results confirm that combining AES-256 and SHA-256 ensures robust, scalable, and reliable data protection in cloud environments. This dual-layer approach secures data confidentiality and integrity without significantly affecting performance, making it practical for real-world applications. The study also addresses existing research gaps, including dynamic data protection and large dataset optimization, while laying the foundation for future enhancements like multi-cloud support, adaptive access control, and integration with intelligent threat detection systems.
title Ensuring Confidentiality and Integrity in Cloud Storage using AES Encryption and SHA-256 Hashing
topic Cloud computing; Data security; AES-256 encryption; SHA-256 hashing; Confidentiality; Integrity; AWS S3; Identity and Access Management (IAM); Secure cloud storage; Hybrid cryptography; Performance evaluation.
url https://doi.org/10.5281/zenodo.18080875