Threshold cryptography for distributed ledger systems
Budigi Prabhakarbudigi.prabhakar@niu.edu.inDepartment of PhysicsNoida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile → , *Takveer SinghCorresponding authortakveer.singh.orp@chitkara.edu.inCentre for Research Impact and OutcomeChitkara University Institute of Engineering and TechnologyChitkara UniversityRajpura, Punjab, 140401, IndiaView full profile → , Neelabh Saoneelabh.sao@rungta.orgDepartment of Computer Science & EngineeringRungta College of Engineering & TechnologyRungta International Skills UniversityBhilai, Chhattisgarh, 490024, IndiaView full profile → , Kothakonda Sairamkothakondasairam.ks@proton.meCentre for Multidisciplinary ResearchAnurag UniversityHyderabad, Telangana, 500088, IndiaView full profile → , Sulabha Narendra Patilsulbha.patil@vit.eduDepartment of Engineering Science and HumanitiesVishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile → , Rajendra Vasantrao Patilpatilrajendra.v@gmail.comDepartment of Computer EngineeringShri Shivaji Vidya Prasarak Sanstha’sBapusaheb Shivajirao Deore College of EngineeringDhule, Maharashtra, 424005, 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-3061
- Pages:
- 4407–4416
Abstract
Threshold cryptography has emerged as a promising approach to enhance security, decentralization and fault tolerance in distributed ledger systems. The paper discusses the implementation of threshold cryptography schemes to blockchain systems to mitigate single-point key failures, and improve the authentication of transactions. The paper presents an architectural scheme that entails threshold key generation, distributed key management and collaborative signature techniques that are suitable for the wallets and validator nodes. Mathematical formulations of thresholds signatures are defined to demonstrate the appropriateness and strength in adverse scenarios. It exhibits a better security resilience, attack resistance and reliability of the system, as compared to the conventional cryptography methods. Experimental results are analyzed risk of key compromise is reduced and more distribution of trust is achieved without a reduction in efficiency. The proposed solution is particularly applicable to decentralized finance and the implementation of enterprise blockchain which offers a safe and scalable alternative to the existing distributed systems.
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References
[1] A. A. Khan and L. Y. Por, “Special Issue on Information Security and Cryptography: The Role of Advanced Digital Technology,” Applied Sciences, vol. 14, no. 5, Art. no. 2045 (2024), doi: 10.3390/app14052045.
[2] B. Schoenmakers and T. Segers, “Secure Groups for Threshold Cryptography and Number-Theoretic Multiparty Computation,” Cryptography, vol. 7, no. 4, Art. no. 56 (2023), doi: 10.3390/cryptography7040056.
[3] J. Ni, G. Fang, Y. Zhao, J. Ren, L. Chen, and Y. Ren, “Distributed Group Key Management Based on Blockchain,” Electronics, vol. 13, no. 11, Art. no. 2216 (2024), doi: 10.3390/electronics13112216.
[4] P. Khobragade, P. K. Dhankar, P. K. Adakane, M. Dhone, S. A. Thakur, and P. Saraf, “Blockchain-Based Solutions for Enhancing Data Security in Cloud Computing Environments,” in Proc. 2025 1st Int. Conf. Data Sci. Intell. Netw. Comput. (ICDSINC), Raipur, India, pp. 599–604 (2025), doi: 10.1109/ICDSINC66221.2025.11448121.
[5] D. Romano and G. Schmid, “Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology,” Cryptography, vol. 5, no. 4, Art. no. 36 (2021), doi: 10.3390/cryptography5040036.
[6] J. Shi, X. Zeng, and R. Han, “A Blockchain-Based Decentralized Public Key Infrastructure for Information-Centric Networks,” Information, vol. 13, no. 5, Art. no. 264 (2022), doi: 10.3390/info13050264.
[7] K. A. Waghmare, P. Mahalle, S. N. Ajani, K. Gupta, S. S. Badhiye, and P. Shende, “Integration of blockchain technology with cryptographic solutions for robust healthcare information security,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-A, pp. 1589–1598 (2025), doi: 10.47974/JDMSC-2157.
[8] Z. A. Shaikh, A. A. Khan, L. Baitenova, G. Zambinova, N. Yegina, N. Ivolgina, A. A. Laghari, and S. E. Barykin, “Blockchain Hyperledger with Non-Linear Machine Learning: A Novel and Secure Educational Accreditation Registration and Distributed Ledger Preservation Architecture,” Applied Sciences, vol. 12, no. 5, Art. no. 2534 (2022), doi: 10.3390/app12052534.
[9] R. Shevchuk, I. Lishchynskyy, M. Ciura, M. Lyzun, R. Kozak, and M. Kasianchuk, “Application of Blockchain Technology in Emergency Management Systems: A Bibliometric Analysis,” Applied Sciences, vol. 15, no. 10, Art. no. 5405 (2025), doi: 10.3390/app15105405.
[10] S. K. Mandal, R. Singh, N. Chandu, D. Mehta, S. K. Henge, D. Kothapeta, C. K. Hinge, A. Sharma, and T. Hussain, “Evolutionary multi-authentication cryptographic key implications for secure data access control,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-B, pp. 1865–1874 (2025), doi: 10.47974/JDMSC-2363.
[11] C. D. Morar and D. E. Popescu, “A Survey of Blockchain Applicability, Challenges, and Key Threats,” Computers, vol. 13, no. 9, Art. no. 223 (2024), doi: 10.3390/computers13090223.
[12] R. Saia, A. S. Podda, L. Pompianu, D. Reforgiato Recupero, and G. Fenu, “A Blockchain-Based Distributed Paradigm to Secure Localization Services,” Sensors, vol. 21, no. 20, Art. no. 6814 (2021), doi: 10.3390/s21206814.
[13] P. A. D. S. N. Wijesekara and S. Gunawardena, “A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and Challenges,” Network, vol. 3, no. 3, pp. 343–421 (2023), doi: 10.3390/network3030017.
[14] 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.
