Evaluation of Computationally Efficient Identity-Based Proxy Signatures

Proxy signatures (PS) are important cryptographic primitives widely used in digital signature applications across various domains. This survey explores PS security solutions in Identity-Based settings, including Short Identity-Based Proxy Signature (SIBPS), Identity-Based Proxy Signature with Message Recovery (IBPSMR), and Identity-Based Designated Verifier Signature (IBDVS). It also determines the performance of IBPS to address security requirements for delegation within resource-limited environments such as IoT devices and cloud computing. The evaluation determines performance bottlenecks while optimizing the computational complexity and communication overhead to support the practical and real-world implementation of IBPS. The findings reveal that IBPS schemes are hindered by significant computation time and communication overhead due to heavy bilinear pairing operations. To assess and compare these schemes, we employ the Evaluation based on Distance from Average Solution (EDAS) model, which ranks them according to their relative performance. The results indicate that the scheme proposed by Mukherjee et al. [37] achieves the best performance, with a computation time of 6.9118 milliseconds and a communication overhead of 2464 bits. It is followed by the scheme from Jenefa and Anita [45], which records 7.7743 milliseconds and 2848 bits, and the scheme from Elkamchouchi et al. [35], with 6.2194 milliseconds and 3104 bits, respectively. Finally, we explored potential directions for future research.

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Publication Details

Journal
IEEE Open Journal of the Computer Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcs.2025.3573638
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.48
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article

Evaluation of Computationally Efficient Identity-Based Proxy Signatures

Muhammad Asghar Khan, Gordana Barb, Ali Tufail, Saddam Hussain et al.
1 citations
IEEE Open Journal of the Computer Society
Cryptography and Data Security
2.48
article

Evaluation of Computationally Efficient Identity-Based Proxy Signatures

Muhammad Asghar Khan, Gordana Barb, Ali Tufail, Saddam Hussain, Haji Awg Abdul Ghani Naim
article en
1 citations

Abstract

Proxy signatures (PS) are important cryptographic primitives widely used in digital signature applications across various domains. This survey explores PS security solutions in Identity-Based settings, including Short Identity-Based Proxy Signature (SIBPS), Identity-Based Proxy Signature with Message Recovery (IBPSMR), and Identity-Based Designated Verifier Signature (IBDVS). It also determines the performance of IBPS to address security requirements for delegation within resource-limited environments such as IoT devices and cloud computing. The evaluation determines performance bottlenecks while optimizing the computational complexity and communication overhead to support the practical and real-world implementation of IBPS. The findings reveal that IBPS schemes are hindered by significant computation time and communication overhead due to heavy bilinear pairing operations. To assess and compare these schemes, we employ the Evaluation based on Distance from Average Solution (EDAS) model, which ranks them according to their relative performance. The results indicate that the scheme proposed by Mukherjee et al. [37] achieves the best performance, with a computation time of 6.9118 milliseconds and a communication overhead of 2464 bits. It is followed by the scheme from Jenefa and Anita [45], which records 7.7743 milliseconds and 2848 bits, and the scheme from Elkamchouchi et al. [35], with 6.2194 milliseconds and 3104 bits, respectively. Finally, we explored potential directions for future research.

IEEE Open Journal of the Computer SocietyVol. 6
Prince Mohammad bin Fahd University (SA), Universiti Brunei Darussalam (BN), Polytechnic University of Timişoara (RO)
Openalex Percentile: Top 10%
Cryptography and Data Security
2.48
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Evaluation of Computationally Efficient Identity-Based Proxy Signatures — Muhammad Asghar Khan, Gordana Barb, et al. · IEEE Open Journal of the Computer Society (2025) | TGRS Research Map | TGRS