Message Detection and Extraction of Chaotic Optical Communication Using Time-Frequency Analysis

TL;DR

This paper analyzes the security of chaotic optical communication using time-frequency analysis, introducing methods to detect and extract messages, and revealing vulnerabilities at low power message frequencies.

Contribution

It presents a novel approach using time-frequency representation to detect and evaluate message security in chaotic optical communication systems.

Findings

Message detection is effective at high power spectrum frequencies.

Low power message frequencies are vulnerable to detection.

The method helps assess security levels of message masking.

Abstract

The security of chaotic optical communication using time-frequency (TF) representation is analyzed in this paper. The mean scalogram ratio (MSR) of TF representation and peak sidelobe level of MSR are defined to detect message. Algorithm for message detection and extraction is presented in detail. Two typical message encryption schemes, chaos masking and chaos modulation, are analyzed. The results reveal that it is not secure to transmit message when the message frequency locates at low power on power spectrum portrait. The proposed method is very useful for estimating the security level of message masking in chaotic optical communication.