Multiplexing steganography based on laser-induced breakdown spectroscopy coupled with machine learning

Abstract

This study proposes steganography based on laser-induced breakdown spectroscopy (LIBS) for the first time. LIBS inks containing different elements in varying concentrations were fabricated to write steganographic text. LIBS was combined with machine learning as an ideal tool to efficiently extract hidden information. The proposed steganography strategy has the advantages of low cost, high security, and good stability, thus providing a practical tool for information transfer.