Robust Stream Cipher Algorithm to Enhancing IoT Network Communications

Stream ciphers play energetic mechanisms in securing cryptographic protocols by providing fast, efficient, and robust symmetric encryption systems to protect sensitive data in weak environments like wireless network. In this paper, we propose a novel stream cipher algorithm founded on the mathematical foundations of quadratic fields, primitive polynomials, and Linear Feedback Shift Registers (LFSRs) to achieve internal encryptions secure against structural and probabilistic attacks. The quadratic fields provides us a rich, random and robust algebraic framework characterized by unique properties that enhance the generation of secure key stream, while primitive polynomials ensure maximal periodicity and strong randomness properties in the key stream generation. LFSRs are exploited for their computational efficiency and great simplicity of implementation, further improving the algorithm's ability to generate high-entropy pseudo-random binary sequences. The proposed cipher demonstrates strong resistance against cryptographic attacks, including linear and differential attacks, outstanding to its innovative design founded on robust synchronous stream cipher generator. Through its experimental evaluation, we validate the efficiency, security, and practical applicability of the proposed algorithm in modern communication and resource-constrained environments like wireless network, Electric Vehicles (EVs), Internet of Things networks, or embedded systems. This work underscores the potential of advanced algebraic techniques in the design of next-generation cryptographic systems.