Secure and dynamic Sharding : Advancing blockchain scalability and security through partitioned consensus and coordinated cross-shard protocols
Satpal Singh Kushwahasatpal.singh@jaipur.manipal.eduDepartment of Computer Science & EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , *Prashant HemrajaniCorresponding authorprashant.hemrajani@jaipur.manipal.eduDepartment of Internet of Things & Intelligent SystemsManipal University JaipurJaipur, Rajsathan, 303007, IndiaView full profile → , Varsha Himthanivarsha.himthani@gmail.comSchool of Computer Science Engineering and TechnologyBennett UniversityGreater Noida, Uttar Pradesh, 201310, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Oct 2025
- Published Online:
- 31 Aug 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2208
- Pages:
- 3093–3102
Abstract
Traditional blockchain networks, such as Bitcoin and Ethereum, face significant challenges as every node must process every transaction, leading to bottlenecks and security vulnerabilities. This paper addresses the critical issues of blockchain scalability and security by proposing a novel approach called “Secure Sharding”. Secure Sharding addresses these problems by dividing the blockchain into smaller, controllable portions called shards, which can process transactions autonomously. This approach enhances transaction throughput and incorporates robust security protocols, such as zero-knowledge proofs and state validation, to maintain the integrity and confidentiality of transactions. By distributing the computational workload, Secure Sharding offers a scalable and secure solution for blockchain networks. The paper details the architecture, implementation, and benefits of Secure Sharding, supported by empirical results from a simulated blockchain environment, demonstrating its efficacy in supporting next-generation applications requiring high throughput and low latency.
Keywords
Subject Classifications
References
[1] X. S. Mei, W. Guo, Z. Liu, Y. M. Liu, W. J. Li, and P. Y. Zhang, “Research on blockchain scalability based on sharding strategy,” in Proc. 5th Int. Conf. Comput. Inf. Sci. Artif. Intell. (CISAI 2022), vol. 12566, pp. 1037–1045 (Mar. 2023), doi: 10.1117/12.2661650.
[2] V. V. Kumar, U. Padmavathi, C. P. Ranjith, J. Balaji, and C. N. S. Vinoth Kumar, “An elixir for blockchain scalability with channel based clustered sharding,” Scalable Computing: Practice and Experience, vol. 25, no. 2, pp. 997–1004 (2024), doi: 10.12694/scpe.v25i2.2441.
[3] G. Viktoria and P. Borysenko, “Using sharding to improve blockchain network scalability,” System Technologies, vol. 6, no. 143, pp. 17–27 (2022).
[4] A. Vernekar, A. Kshirsagar, and V. K. Pachghare, “Sharding-based scalability enhancement of blockchain-based health application,” in Proc. 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), pp. 901–906 (Aug. 2023).
[5] S. Tyagi and M. Kathuria, “Study on blockchain scalability solutions,” in Proc. 13th International Conference on Contemporary Computing, pp. 394–401 (Aug. 2021).
[6] K. Khacef, S. Benbernou, M. Ouziri, and M. Younas, “Trade-off between security and scalability in blockchain design: A dynamic sharding approach,” in Proc. International Conference on Deep Learning, Big Data and Blockchain, Cham, Switzerland: Springer International Publishing, pp. 77–90 (Aug. 2021).
[7] S. Toxanov, S. Sharipova, A. Biloshchytskyi, D. Abzhanova, and B. Bakytkereiuly, “Analysis of the impact of sharding on the scalability and efficiency of blockchain technologies for the creation of information-analytical systems for environmental monitoring of emissions into the environment,” Scientific Journal of Astana IT University, no. 18, pp. 66–74 (2024), doi: 10.37943/18VIFS4010.
[8] R. Li, Y. Qin, C. Wang, M. Li, and X. Chu, “A blockchain-enabled framework for enhancing scalability and security in IIoT,” IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7389–7400 (2022).
[9] F. Rahman, C. Titouna, and F. Nait-Abdesselam, “Prioritised sharding: A novel approach to enhance blockchain scalability,” in Proc. 5th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), pp. 1–2 (Oct. 2023).
[10] A. Aldoubaee, N. H. Hassan, and F. A. Rahim, “A systematic review on blockchain scalability,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 9, pp. 774–784 (2023).
[11] F. H. N. Al-Mutar, A. A. T. Al-Khazaali, and B. A. Hataf, “Scalability of blockchain: Review of cross-sharding with high communication overhead,” in BIO Web of Conferences, vol. 97, Art. no. 00075 (2024), doi: 10.1051/bioconf/20249700075.
[12] V. P. Singh, S. S. Biswas, B. Alankar, and S. Tanweer, “Cryptographic modeling and discrete structures for intrusion detection in Ethereum smart contracts,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 8, pp. 3039–3048 (2025).
[13] A. Dadhich, B. Keswani, and D. Goyal, “Comparative analysis of a novel smart contract-based hybrid access control model for blockchain-enabled secure IoT home automation systems,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 7, pp. 2875–2888 (2025).
[14] V. Ramachandran, H. M. A. Ghanimi, B. Marapelli, N. Kaur, M. R. Laxmi, R. K. Bommisetti, S. Sengan, and P. Dadheech, “An enterprise blockchain model: A reliable cryptography-based cyber-physical systems for securing user data,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-B, pp. 2103–2114 (2025).
