Abstract
This paper presents a hyperchaotic-based neural synchronized complex key exchange for secure transmission in wireless sensor network (WSN). WSNs are the most recent speed-boosting technologies that are being used in a wide range of critical applications around the world. WSN is still the underlying technology of modern technologies such as IoT. The major problem in WSNs is key exchange. This paper proposed a complex-valued neural synchronization-based key exchange as one of the security solutions in WSN. The crucial component of neuronal synchronization is establishing how effectively the participating sides' ANNs coordinate without each other's weights. Traditional algorithms delay assessing cooperation, which jeopardizes neuronal coordination's concealment. Furthermore, research into the reciprocating training of a group of ANNs and creating a shared input using a strong PRNG is limited. The use of a hyperchaotic system to effectively synchronize neural networks for session key swap over is presented in this paper, with the sync of a number of ANNs being evaluated efficiently. To distribute the neural key over a common channel, two neural networks are synced using reciprocating learning. Coordination is measured by the function where the ANNs have produced identical results in prior rounds. There are numerous advantages to the proposed method: (1) ANN's input sequences are generated using a collaborated 4D, 5D, and 6D hyperchaotic-based PRNG. (2) A reciprocal neural alignment of complicated ANNs is used to create the complex session key across the WSN network. (3) When compared to previous techniques, the suggested strategy allows communication parties to discover full synchronization more quickly. The proposed strategy outperforms related techniques in the literature.