IDENTITY-BASED PRIVACY-PRESERVING ANONYMOUS AUTHENTICATION ACCESS CONTROL FOR SECURE CLOUD COMPUTING

The storage of data with access controllability in sharing data between multiple users in a dispersed environment is now the most pressing issue in cloud computing. Cloud computing's unique feature allows its subscribers to exchange and manage their data with one another safely. However, privacy is essential for all cloud users to communicate freely and openly, as data is accessed by unwanted parties in the cloud. Cloud services have employed numerous security-related techniques for efficient and safe user data exchange. These methods provide efficient, flexible, and reliable access control rules between users when exchanging data. But, they each have advantages and disadvantages concerning key generation and data security. To address the need for adaptable, scalable, and trustworthy access control while exchanging data across a dispersed network, this research proposes a novel access control-based privacy-preserving approach. In terms of cipher text and critical policy security, this method is an extension of attribute-based encryption and the only difference is that with cloud computing, users hierarchically share data, and access control policy amongst shared users is evaluated efficiently. Our method includes sophisticated security features like the revocation of users and access rights of users for outsourced data in the cloud. It also provides scalability and dependability in producing critical structures with dynamic qualities. Experimental results demonstrate that the suggested method improves the current system in terms of cloud data sharing efficiency, scalability, and dependability.

Authors

Publication Details

Journal
Proceedings on Engineering Sciences
Published
2024-08-29
DOI
https://doi.org/10.24874/pes.si.24.03.015
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

IDENTITY-BASED PRIVACY-PRESERVING ANONYMOUS AUTHENTICATION ACCESS CONTROL FOR SECURE CLOUD COMPUTING

V. V. R. Maheswara Rao, S. Srinivasa Rao, N. Praneetha, P. S. Brahmanandam et al.
Proceedings on Engineering Sciences
Cloud Data Security Solutions
article

IDENTITY-BASED PRIVACY-PRESERVING ANONYMOUS AUTHENTICATION ACCESS CONTROL FOR SECURE CLOUD COMPUTING

V. V. R. Maheswara Rao, S. Srinivasa Rao, N. Praneetha, P. S. Brahmanandam, I.S. Siva Rao
article en

Abstract

The storage of data with access controllability in sharing data between multiple users in a dispersed environment is now the most pressing issue in cloud computing. Cloud computing's unique feature allows its subscribers to exchange and manage their data with one another safely. However, privacy is essential for all cloud users to communicate freely and openly, as data is accessed by unwanted parties in the cloud. Cloud services have employed numerous security-related techniques for efficient and safe user data exchange. These methods provide efficient, flexible, and reliable access control rules between users when exchanging data. But, they each have advantages and disadvantages concerning key generation and data security. To address the need for adaptable, scalable, and trustworthy access control while exchanging data across a dispersed network, this research proposes a novel access control-based privacy-preserving approach. In terms of cipher text and critical policy security, this method is an extension of attribute-based encryption and the only difference is that with cloud computing, users hierarchically share data, and access control policy amongst shared users is evaluated efficiently. Our method includes sophisticated security features like the revocation of users and access rights of users for outsourced data in the cloud. It also provides scalability and dependability in producing critical structures with dynamic qualities. Experimental results demonstrate that the suggested method improves the current system in terms of cloud data sharing efficiency, scalability, and dependability.

Proceedings on Engineering SciencesVol. 6(3)
Openalex Percentile: Top 76%
Cloud Data Security Solutions
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