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

Area of Science:

• Cryptography and Network Security
• Chaos Theory Applications
• Metaheuristic Optimization

Background:

• Rapid growth of Internet of Things (IoT) devices and 5G/6G networks necessitates secure, low-latency data transmission.
• Traditional encryption methods face challenges with computational complexity and latency in large-scale, real-time applications.
• Need for robust and scalable encryption solutions for emerging communication technologies.

Purpose of the Study:

• To propose a chaos-based encryption framework for secure and efficient data transmission.
• To enhance synchronization accuracy and reduce computational overhead using bio-inspired algorithms.
• To evaluate the performance of different optimization algorithms for parameter tuning in chaotic systems.

Main Methods:

• Utilized the Sprott chaotic oscillator for generating unpredictable encryption signals.
• Employed the Pachycondyla Apicalis Algorithm (API) and Penguin Search Optimization Algorithm (PeSOA) for optimizing Sprott system parameters.
• Focused on achieving accurate transmitter-receiver synchronization for secure communication.
• Simulated the proposed encryption framework and analyzed performance metrics.

Main Results:

• The Penguin Search Optimization Algorithm (PeSOA) demonstrated superior performance over the Pachycondyla Apicalis Algorithm (API).
• PeSOA achieved faster convergence speed and a lower Root Mean Square Error (RMSE) in synchronization.
• The chaos-based framework effectively provided robust, scalable, and low-latency encryption.
• Optimized synchronization parameters significantly improved the efficiency of the encryption process.

Conclusions:

• The proposed chaos-based encryption framework offers a viable solution for secure data transmission in IoT and 5G/6G environments.
• PeSOA is an effective metaheuristic algorithm for optimizing chaotic systems, outperforming API in synchronization tasks.
• The framework addresses the critical need for high-security, low-latency communication in interconnected systems.
• This research contributes to advancing secure communication protocols for future network generations.