Cloud Data Protection Via Secure Storage And Sharing Methods

Authors

  • Mr. Khaja Pasha Assistant Professor, Dept. Of CSE-AIML, Lords Institute Of Engineering And Technology, Hyderabad, India. Author
  • Mr. Krashna, Mr. Shaikh Adnan, Mr. Syed Rafeequddin 4B.E Student Dept. Of CSE-AIML, Lords Institute Of Engineering And Technology, Hyderabad, India. Author

DOI:

https://doi.org/10.62647/

Keywords:

cloud

Abstract

With the rapid growth of cloud computing, organizations and individuals increasingly rely on cloud platforms to store and share sensitive data. However, this convenience introduces significant challenges related to data security, privacy, and unauthorized access. Ensuring secure storage and controlled sharing of cloud data has become a critical concern in modern computing environments. Cloud infrastructures are inherently distributed and often managed by third-party providers, which raises concerns regarding trust, confidentiality, and data ownership. As a result, robust security mechanisms must be implemented to ensure that sensitive information remains protected against cyber threats, insider attacks, and accidental data exposure.

This paper presents a comprehensive cloud data protection framework that enhances security through encryption, access control mechanisms, and secure data sharing techniques. The proposed system utilizes advanced cryptographic methods to protect stored data and ensure that only authorized users can access or modify it. In addition, secure key management and authentication mechanisms are integrated to prevent data breaches and maintain confidentiality. The framework also supports efficient data sharing among authorized users while preserving privacy and integrity. Experimental evaluation demonstrates that the proposed approach improves data protection, reduces the risk of unauthorized access, and enhances overall cloud security performance. The results indicate that the system offers strong confidentiality, integrity, and availability features, making it suitable for real- world cloud applications. Furthermore, the framework is designed to be scalable and adaptable to evolving cloud security challenges. This framework can serve as a reliable solution for protecting sensitive information in cloud-based environments and can be further extended with advanced technologies such as artificial intelligence- driven threat detection and blockchain-based access auditing for improved security

 

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Published

06-04-2026

How to Cite

Cloud Data Protection Via Secure Storage And Sharing Methods. (2026). International Journal of Information Technology and Computer Engineering, 14(2), 41-45. https://doi.org/10.62647/

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