# Secure Signal Encryption in IoT and 5G/6G Networks via Bio-Inspired Optimization of Sprott Chaotic Oscillator Synchronization

## TL;DR

This paper introduces a new encryption method for IoT and 5G/6G networks using chaotic oscillators and bio-inspired algorithms to improve security and reduce latency.

## Contribution

A novel chaos-based encryption framework using optimized Sprott oscillator synchronization with bio-inspired algorithms for secure IoT and 5G/6G communication.

## Key findings

- PeSOA-based synchronization outperforms API in convergence speed and RMSE.
- The proposed framework offers robust, scalable encryption with low computational overhead.
- Chaos-based encryption is suitable for real-time, large-scale IoT and 5G/6G networks.

## Abstract

The rapid growth of Internet of Things (IoT) devices and the emergence of 5G/6G networks have created major challenges in secure and reliable data transmission. Traditional cryptographic algorithms, while robust, often suffer from high computational complexity and latency, making them less suitable for large-scale, real-time applications. This paper proposes a chaos-based encryption framework that uses the Sprott chaotic oscillator to generate secure and unpredictable signals for encryption. To achieve accurate synchronization between the transmitter and the receiver, two bio-inspired metaheuristic algorithms—the Pachycondyla Apicalis Algorithm (API) and the Penguin Search Optimization Algorithm (PeSOA)—are employed to identify the optimal control parameters of the Sprott system. This optimization improves synchronization accuracy and reduces computational overhead. Simulation results show that PeSOA-based synchronization outperforms API in convergence speed and Root Mean Square Error (RMSE). The proposed framework provides robust, scalable, and low-latency encryption for IoT and 5G/6G networks, where massive connectivity and real-time data protection are essential.