Keshav Sinha | Searcharxiv

arXiv2025

Multiparty Authorization for Secure Data Storage in Cloud Environments using Improved Attribute-Based Encryption

In todays scenario, various organizations store their sensitive data in the cloud environment. Multiple problems are present while retrieving and storing vast amounts of data, such as the frequency of data requests (increasing the computational overhead of the server) and data leakage while storing. To cope with said problem, Attribute-Based Encryption (ABE) is one of the potential security and access control techniques for secure data storage and authorization. The proposed work divides into two objectives: (i) provide access to authorized users and (ii) secure data storage in a cloud environment. The improved ABE using Functional Based Stream Cipher (FBSE) is proposed for data storage. The proposed technique uses simple scalar points over a parabolic curve to provide multiparty authorization. The authorization points are generated and share only with the authorized recipients. The Shamir secret sharing technique generate the authorization points and 2D-Lagrange Interpolation is used to reconstruct the secret points from regular parabola. The proposed scheme has specified the threshold (Ts>3) legally authorized users to reconstruct the attribute-associated keys for decryption. The encryption of data is evaluated using Statistical analysis (NIST Statistical Test Suite, Correlation Coefficient, and Histogram) test to investigate image pixel deviation. The parameters like encryption and decryption are used for performance analysis, where an increase in the number of attributes for the authorization policy will increase the encryption time. The proposed scheme imposes minimal storage overhead, irrespective of the users identity. The security analysis evidence that it resists collision attacks. The security and performance analysis results demonstrate that the proposed scheme is more robust and secure.

cs.CR↗

arXiv2025

Enhancing Distributed Authorization With Lagrange Interpolation And Attribute-Based Encryption

In todays security landscape, every user wants to access large amounts of data with confidentiality and authorization. To maintain confidentiality, various researchers have proposed several techniques. However, to access secure data, researchers use access control lists to grant authentication and provide authorization. The above several steps will increase the server's computation overhead and response time. To cope with these two problems, we proposed multiparty execution on the server. In this paper, we introduce two different approaches. The first approach is encryption, utilizing the Involution Function Based Stream Cipher to encrypt the file data. The second approach is key distribution, using the Shamir secret sharing scheme to divide and distribute the symmetric key to every user. The decryption process required key reconstruction, which used second order Lagrange interpolation to reconstruct the secret keys from the hidden points. The process will reduce the server's computational overhead. The results are evaluated based on the encryption and decryption time, throughput, computational overhead, and security analysis. In the future, the proposed mechanism will be used to share large-scale, secure data within the organization.

cs.CR↗