ESN-Driven joint decision strategy for a configurable security NOMA optical communication system

Area of Science:

• Optical communication systems
• Information security
• Machine learning applications

Background:

• Non-Orthogonal Multiple Access (NOMA) systems face security vulnerabilities.
• Conventional methods for secure communication can involve high computational overhead.
• Echo State Networks (ESNs) offer potential for efficient signal processing.

Purpose of the Study:

• To develop an ESN-Driven joint decision strategy for configurable security NOMA optical communication.
• To enhance system security by addressing vulnerabilities through a configurable key iteration scheme.
• To reduce computational overhead in demodulation using ESNs.

Main Methods:

• Implementation of an ESN-Driven joint decision strategy.
• Introduction of a configurable key iteration scheme with temporal interleaving of chaotic models and keys.
• Replacement of traditional log-likelihood ratio (LLR) computations with ESN-based demodulation.

Main Results:

• The ESN-Driven joint decision strategy demonstrated low computational cost.
• Brute-Force Time (BFT) was significantly increased to 10^151.
• Experimental validation was performed over a 7-core fiber system.

Conclusions:

• The proposed ESN-Driven strategy effectively enhances the security of NOMA optical communication systems.
• The approach achieves a substantial increase in security against brute-force attacks.
• The strategy offers improved efficiency through reduced computational overhead.