Code-based signature schemes for long-term archival documents
Kasturi Rohinikasturirohini2024@protonmail.comCentre for Multidisciplinary ResearchAnurag UniversityHyderabad, Telangana, 500088, IndiaView full profile → , *Chetanaba G. RajputCorresponding authorad.admin@gokuluniversity.ac.inFaculty of Arts, Humanities and Social ScienceGokul Global UniversitySidhpur, Gujarat, 384151, IndiaView full profile → , Manoj Verghesemanoj@rungta.orgDepartment of Computer Science & EngineeringRungta College of Engineering & TechnologyRungta International Skills UniversityBhilai, Chhattisgarh, 490024, IndiaView full profile → , Manpreet Singhmanpreet.singh.orp@chitkara.edu.inCentre for Research Impact & OutcomeChitkara University Institute of Engineering and TechnologyChitkara UniversityRajpura, Punjab, 140417, IndiaView full profile → , Saumya Goyalsaumyaqsb@quantumeducation.inQuantum University Research CenterQuantum UniversityRoorkee, Uttarakhand, 247667, IndiaView full profile → , Shardha Purohitshardha.purohit@niu.edu.inSchool of Journalism and Mass CommunicationNoida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2026
- Published Online:
- 31 Oct 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-3006
- Pages:
- 3751–3763
Abstract
The role of code-based signature schemes is increasingly significant in long-term archival documents, in which the traditional cryptographic systems would be threatened with becoming obsolete because of post-quantum effects. The susceptibility of the current digital signatures such as RSA and ECC to quantum attacks and to long term exposure to key render the solutions to quantum attacks and long term exposure a burning issue. A powerful structure of archival signature is implied in this work with the assistance of code-based cryptography that is, applying the McEliece cryptosystem and its signature scheme CFS signature scheme. The scheme is based on a combination of both structured Goppa codes, hash-and-sign schemes and error correcting decoding schemes to offer high unforgeability and durability. Experimental results demonstrate that signature verification rates are 95.7%, integrity preservation is 97.1% and resistance is 94.4% better in terms of accuracy than quantum inspired attacks and lattice-based schemes and is 16.6 times more resilient in the archives as compared to RSA and lattice-based schemes. Some of the parameters that are compared are key size, signing latency and forgery resistance. The proposed framework introduces a scaleable, quantum resilient system to the verifiable, secure and long term document preservation systems.
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References
[1] M. Zhang, F. Shao, R. Zheng, M. Liu, and Z. Ji, “An efficient encryption scheme with fully hidden access policy for medical data,” Electronics, vol. 12, no. 13, Art. no. 2930 (2023), doi: 10.3390/electronics12132930.
[2] P. K. Deshmukh, S. K. Verma, P. D. Jadhav, S. I. Baltabaevich, V. Vijaykumar, and A. Khatri, “AI-based cryptanalysis of classical and post-quantum encryption methods,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 759–767 (2026), doi: 10.47974/JDMSC-2522.
[3] K. Algazy, K. Sakan, A. Khompysh, and D. Dyusenbayev, “Development of a new post-quantum digital signature algorithm: Syrga-1,” Computers, vol. 13, no. 1, Art. no. 26 (2024), doi: 10.3390/computers13010026.
[4] I. Aciobăniței, Ș.-C. Arseni, E. Bureacă, and M. Togan, “A comprehensive and privacy-aware approach for remote qualified electronic signatures,” Electronics, vol. 13, no. 4, Art. no. 757 (2024), doi: 10.3390/electronics13040757.
[5] D. R. Bhoyar, “The role of deep learning in network security using explainable artificial intelligence,” IJACECT, vol. 14, no. 2, pp. 1–8 (Sep. 2025).
[6] O.-A. Ticleanu, I. D. Hunyadi, and N. Constantinescu, “Temperate blind signature scheme for particular subspaces,” Applied Sciences, vol. 15, no. 13, Art. no. 7180 (2025), doi: 10.3390/app15137180.
[7] A Kichna and A. Farchane, “Secure and efficient code-based cryptography for multi-party computation and digital signatures,” Computer Sciences & Mathematics Forum, vol. 6, no. 1, Art. no. 1 (2023), doi: 10.3390/cmsf2023006001.
[8] S. Thakur, L. Yadav, K. T. Punj, Y. Sood, V. K. Bhosale, and S. K. Swarnkar, “Addressing quantum threats to cryptographic security systems with advanced quantum-resistant algorithms,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 839–847 (2026), doi: 10.47974/JDMSC-2534.
[9] A Alahmadi, S. Çalkavur, P. Solé, A. N. Khan, M. A. Raza, and V. Aggarwal, “A new code based signature scheme for blockchain technology,” Mathematics, vol. 11, no. 5, Art. no. 1177 (2023), doi: 10.3390/math11051177.
[10] M. I. García-Cid, R. Martín, D. Domingo, V. Martín, and L. Ortiz, “Design and implementation of a quantum-assisted digital signature,” Cryptography, vol. 9, no. 1, Art. no. 11 (2025), doi: 10.3390/cryptography9010011.
[11] R. C. Poonia, T. Singh, C. K. Rajashri, D. Mondal, and S. M. Patil, “Optimizing communication system security through comprehensive testing and intelligent network configurations,” Journal of Information and Optimization Sciences, vol. 47, no. 5-A, pp. 1709–1717 (2026), doi: 10.47974/JIOS-2261.




