A novel quantum steganography-Steganalysis system for audio signals

摘要: As a substitute for classical solutions, quantum information hiding techniques have become an essential issue in the field of communications by utilizing inherent features mechanics and creating more secured reliable exchange digital media within context networks. Quantum steganography has been considered as one these approaches recent years, but importance investigating discovering hidden communication networks that require use steganalysis methods not addressed so far. Therefore, this paper, novel steganography-steganalysis system audio signals is proposed, which can accurately detect The proposed model consists two separate sections: steganalysis; part, to minimize impacts embedding process increasing Signal Noise Ratio (SNR), operation carried out Least Significant Fractional Qubit (LSFQ) amplitude signal samples. Then, universal steganalyzer part distinguishes stego using extracted statistical from signals. mean feature extraction module extract frames circuits implementing K-Nearest Neighbor (KNN) algorithm Hamming distance criterion. simulation-based tested evaluated different files. Over 80% accuracy detecting indicates high efficiency scheme its applicability Along with higher security when compared one, results show also capable competing terms methods.