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dc.contributor.advisorLê, Hải Dương
dc.contributor.authorPhạm, Hà Minh Thy
dc.date.accessioned2025-02-19T02:14:44Z
dc.date.available2025-02-19T02:14:44Z
dc.date.issued2024
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6696
dc.description.abstractSince its inception until now, cloud computing has brought convenience and flexibility to us in terms of sharing data. However, there is resistance for users to share their data over the cloud, especially data containing sensitive information. This paper presents a cloud computing encryption system that aims to enhance data security and privacy in cloud environments. The recommended system is a strategy to add a layer of security to the cloud platform. With the increasing reliance on cloud storage and services, it is crucial to ensure that sensitive data remains protected from unauthorized access. The proposed encryption system provides a robust solution to this challenge. This system utilizes the methods of Revocable-Storage Identity-Based Encryption (RSIBE) and Advanced Encryption Standard (AES) for encryption and decryption. Firstly, a random message is hashed to generate an encryption key. The encryption key will then be applied to the AES to encrypt a file. To protect the key from exposure, a key encapsulation method is carried out. The approach is to apply RS-IBE scheme into encrypting and decrypting the cryptography key. The system uses a tree-based structure to manage the user’s identity and time. The depth of the tree and the total of nodes can be adjusted according to specific requirements, providing flexibility in user and data management. This allows the system to be optimized based on their storage needs and security preferences. Besides, with the ability to revoke users at time periods and continuously update the ciphertext, this scheme appears to meet the security requirements of a data-sharing system.en_US
dc.subjectData Privacyen_US
dc.subjectCloud Computingen_US
dc.subjectdata-sharingen_US
dc.titleData Privacy In Cloud Computingen_US
dc.typeThesisen_US


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