A Secure and Efficient Attribute-Based Signature Scheme with Proxy Delegation

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ID: 310410
2023
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Ranked #327 of 409 articles by views in International Journal of Science and Social Science Research

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Abstract
In this paper, we propose a novel Attribute-Based Signature (ABS) scheme that integrates a proxy delegation mechanism, enabling secure and flexible signature generation based on user attributes. This advanced delegation allows designated proxies to sign on behalf of the original users, without revealing sensitive information related to the users’ attribute sets, thus preserving privacy. The scheme leverages bilinear pairings to provide robust security guarantees, ensuring that signatures can only be generated by authorized users who possess the necessary attribute keys or by designated proxy entities endowed with delegated keys. To address potential security threats, our construction incorporates resilience against both insider and outsider attacks, establishing stringent protection against unauthorized signature generation and identity impersonation. Our design emphasizes efficiency and scalability, balancing security and computational overhead to achieve practical feasibility across various applications, such as access control, IoT, and decentralized networks, where attributebased authentication and delegation are critical. Additionally, we provide a comprehensive analysis of the scheme’s correctness, security, and unforgeability, underpinned by rigorous proofs based on the Computational Diffie-Hellman (CDH) assumption. Through this analysis, we demonstrate that the scheme meets all essential security properties, including anonymity, non-repudiation, and resistance to delegation abuse, positioning it as a reliable and adaptable solution for real-world deployments requiring secure and flexible attribute-based authentication.
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imported_1768931367_696fc0279096c Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mridul Kumar Gupta
Journal International Journal of Science and Social Science Research
Year 2023
DOI
10.5281/zenodo.14970075
URL
https://www.ijsssr.com/j/article/view/330
Keywords Keywords not found

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