journal-of-discrete-mathematical-sciences-and-cryptography Journal of Discrete Mathematical Sciences and Cryptography 2169-0065 0972-0529 Taru Publications 10.47974/JDMSC-2814 Cryptanalysis-resistant SDN architecture for dynamic traffic management using applied algebra and elliptic curve cryptography for secure tenant isolation Saini Ashok Kumar Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India Thada Vikas Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University Madhya Pradesh, Gwalior, Madhya Pradesh, 474005, India Jain Sanat Department of Computer Science & Engineering, School of Computing Science & Engineering, VIT Bhopal University, Sehore, Madhya Pradesh, 466114, India Swati Department of Computer Science & Engineering, Centre of Excellence-Artificial Intelligence, School of Engineering & Technology, K. R. Mangalam University, Gurugram, Haryana, 122103, India Mehra Raghav Department of Artificial Intelligence & Machine Learning, APEX Institute of Technology (AIT), Chandigarh University, Mohali, Punjab, 140413, India Vats Prashant Department of Computer Science & Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India Yadav Saneh Lata Department of Computer Science and Engineering, School of Engineering & Technology, K. R. Mangalam University, Gurugram, Haryana, 122103, India 29 8 3269 3277 14 08 2026

Software-Defined Networking (SDN) security is enhanced using algebraic structures and elliptic curve cryptography for secure, scalable, multi-tenant communication. The model ensures robust key exchange, authentication, and traffic isolation while resisting cryptanalytic attacks like replay and MITM, improving efficiency and resilience over traditional SDN security frameworks.

 Software-defined networking (SDN) Dynamic traffic management Cryptography-based tenant isolation Hybrid cryptography Elliptic curve Diffie–Hellman (ECDH) Flow-level encryption Multi-tenant networks Secure SDN architecture Centralized control Scalability Performance optimization access open retracted no