Design of ECC-based secure communication protocols over discrete mathematical structures for 6G WSNs
Sushamasushama.tanwar@jaipur.manipal.eduDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Shuchita Vaidyashuchitavaidya@gmail.comDepartment of Online and Digital LearningSymbiosis International (Deemed University)Pune, Maharashtra, 412115, IndiaView full profile → , Ashok Kumar Sainiashok.saini@jaipur.manipal.eduDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Madan Lal Sainimadan.e13485@cumail.inDepartment of Computer Science and EngineeringApex Institute of Technology (AIT)Chandigarh UniversityMohali, Punjab, 140413, IndiaView full profile → , Jyoti Yadavjyotiyadav726@gmail.comDepartment of Computer Science and EngineeringSchool of Engineering & TechnologyK. R. Mangalam UniversityGurugram, Haryana, 122103, IndiaView full profile → , *Prashant VatsCorresponding authorprashant.vats@jaipur.manipal.eduDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Jan 2026
- Published Online:
- 14 Aug 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2700
- Pages:
- 3159–3166
Abstract
This paper presents the design of an ECC-based secure communication protocol built on discrete mathematical structures for 6G Wireless Sensor Networks (WSNs). The framework leverages optimized elliptic curve operations over finite fields to enable lightweight encryption, secure key exchange, and reliable authentication in resource-constrained environments. By utilizing the hardness of the Elliptic Curve Discrete Logarithm Problem (ECDLP), the proposed protocol ensures strong confidentiality, integrity, and forward secrecy. The design focuses on reducing computational overhead, communication cost, and energy consumption, making it suitable for large-scale sensor deployments. The protocol supports scalable and efficient security mechanisms, addressing the challenges of massive connectivity, low latency, and heterogeneous devices in emerging 6G networks.
Keywords
Subject Classifications
References
[1] F. Al-Turjman, M. Zahmatkesh, and R. Shahroze, “An overview of security and privacy in smart cities’ IoT communications,” Trans. Emerg. Telecommun. Technol., vol. 33, no. 3, Art. no. e3677 (2022).
[2] Y. Zhang and X. Wang, “Fast scalar multiplication algorithm for elliptic curve cryptography in wireless sensor networks,” Int. J. Distrib. Sens. Netw., vol. 15, no. 7 (2019).
[3] N. Kumar, M. Dave, and C. C. Lee, “Secure and efficient privacy-preserving vehicle-to-everything communication architecture for 6G networks,” IEEE Internet Things J., vol. 9, no. 15, pp. 13245–13256 (2022).
[4] S. Gupta, A. Saini, and M. Agarwal, “Green cryptography: Energy-efficient secure communication techniques for 6G,” J. Netw. Comput. Appl., vol. 204, Art. no. 103418 (2023).
[5] P. Vats, S. K. Budhani, D. K. Srivastava, S. L. Yadav, S. K. Gupta, and A. K. Saini, “Secure key exchange and digital signatures via elliptic curves and discrete mathematical principles,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 8, pp. 3081–3089 (2025), doi: 10.47974/JDMSC-2469.
[6] V. Miller, “Use of elliptic curves in cryptography,” in Advances in Cryptology—CRYPTO ’85 Proceedings, H. C. Williams, Ed. Berlin, Germany: Springer, pp. 417–426 (1986).
[7] N. Koblitz, “Elliptic curve cryptosystems,” Math. Comput., vol. 48, no. 177, pp. 203–209 (1987).
[8] National Institute of Standards and Technology (NIST), Module-Lattice-Based Key-Encapsulation Mechanism Standard, FIPS PUB 203, Gaithersburg, MD, USA (2024), doi: 10.6028/NIST.FIPS.203.
[9] Y. Siriwardhana, P. Porambage, M. Liyanage, and M. Ylianttila, “AI and 6G security: Opportunities and challenges,” in Proc. Joint Eur. Conf. Netw. Commun. 6G Summit (EuCNC/6G Summit), pp. 616–621 (2021).
[10] M. A. Ferrag, L. Cordeiro, A. Ahmim, and A. Derhab, “Security analysis of AI-driven 6G applications: A survey,” ACM Comput. Surv., vol. 56, no. 10, pp. 1–38 (2024).
[11] B. L. V. S. Aditya and S. N. Mohanty, “Design of an efficient model for fake profile detection on social media using advanced feature engineering and deep learning techniques,” J. Inf. Optim. Sci., vol. 46, no. 6, pp. 1803–1810 (2025), doi: 10.47974/JIOS-2009.
[12] S. D. Bahinipati and B. K. Pattanayak, “A novel blockchain-enabled smart contract for smart city e-governance ecosystem,” J. Inf. Optim. Sci., vol. 46, no. 6, pp. 1831–1840 (2025), doi: 10.47974/JIOS-2012.
[13] Z. S. Alsham, E. Bahçekapılı, and A. Ayaz, “Trends in IoT applications in smart campuses: A topic modeling approach,” COLLNET J. Scientom. Inf. Manag., vol. 19, no. 1, pp. 21–40 (2025), doi: 10.47974/CJSIM-2024-017.
[14] W. Sripanya, W. Rungrottheera, and P. Hyunsin, “Fourier series analysis and computation based on function characteristics,” J. Interdiscip. Math., vol. 28, no. 6, pp. 2109–2120 (2025), doi: 10.47974/JIM-2352.




