A novel quantum steganography-Steganalysis system for audio signals

被引:20
作者
Chaharlang, Javad [1 ]
Mosleh, Mohammad [1 ]
Rasouli-Heikalabad, Saeed [2 ]
机构
[1] Islamic Azad Univ, Dezful Branch, Dept Comp Engn, Dezful, Iran
[2] Islamic Azad Univ, Tabriz Branch, Dept Comp Engn, Tabriz, Iran
关键词
Nano communication; Quantum computing; Quantum circuits; Quantum audio steganography; Quantum audio steganalysis; HIGH-CAPACITY; ALGORITHM; REPRESENTATION; DECOMPOSITION; TRANSPARENT; ENCRYPTION; TRANSFORM; SECURE;
D O I
10.1007/s11042-020-08694-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a substitute for classical solutions, quantum information hiding techniques have become an essential issue in the field of quantum communications by utilizing the inherent features of quantum mechanics and creating more secured communications for the more reliable exchange of digital media within the context of quantum communications networks. Quantum steganography has been considered as one of these approaches in recent years, but the importance of investigating and discovering these hidden communications within the context of quantum communication networks that require the use of quantum steganalysis methods has not been addressed so far. Therefore, in this paper, a novel quantum steganography-steganalysis system for digital audio signals is proposed, which can accurately detect audio steganography methods in the context of quantum communication networks. The proposed model consists of two separate sections: steganography and steganalysis; in the steganography part, to minimize the impacts of the embedding process and increasing the Signal to Noise Ratio (SNR), the embedding operation is carried out within the Least Significant Fractional Qubit (LSFQ) of the amplitude information of the audio signal samples. Then, a universal steganalyzer in the steganalysis part distinguishes the stego audio signals using the extracted statistical features from the audio signals. The universal steganalyzer consists of a mean feature extraction module to extract features from the audio signal frames and the quantum circuits for implementing the K-Nearest Neighbor (KNN) algorithm and the Hamming distance criterion. The simulation-based quantum circuits of the proposed system tested and evaluated using different audio files. Over 80% accuracy in detecting stego audio signals indicates high accuracy and efficiency of the proposed scheme and its applicability in quantum communication networks. Along with the higher efficiency and security of quantum steganography methods when compared with the classical one, the results show that the proposed quantum steganography-steganalysis scheme is also capable of competing with classical methods in terms of accurately detecting steganography methods.
引用
收藏
页码:17551 / 17577
页数:27
相关论文
共 59 条
[31]   Audio Steganalysis based on collaboration of fractal dimensions and convolutional neural networks [J].
Mohtasham-zadeh, Vahid ;
Mosleh, Mohammad .
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (09) :11369-11386
[32]   High-capacity, transparent and robust audio watermarking based on synergy between DCT transform and LU decomposition using genetic algorithm [J].
Mosleh, Mandi ;
Setayeshi, Saeed ;
Barekatain, Behrang ;
Mosleh, Mohammad .
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2019, 100 (03) :513-525
[33]  
NEJAD MY, 2019, INT J THEOR PHYS, P1
[34]   Vulnerability of the Synchronization Process in the Quantum Key Distribution System [J].
Pljonkin, A. P. .
INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING, 2019, 9 (01) :50-58
[35]  
Prentice Hall international editions, 1999, Discrete-Time Signal Processing, V1, P3
[36]   Novel quantum watermarking algorithm based on improved least significant qubit modification for quantum audio [J].
Qu, Zhi-Guo ;
He, Huang-Xing ;
Li, Tao .
CHINESE PHYSICS B, 2018, 27 (01)
[37]   A novel quantum image steganography algorithm based on exploiting modification direction [J].
Qu, Zhiguo ;
Cheng, Zhenwen ;
Liu, Wenjie ;
Wang, Xiaojun .
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (07) :7981-8001
[38]   Quantum Support Vector Machine for Big Data Classification [J].
Rebentrost, Patrick ;
Mohseni, Masoud ;
Lloyd, Seth .
PHYSICAL REVIEW LETTERS, 2014, 113 (13)
[39]   Quantum Algorithm for K-Nearest Neighbors Classification Based on the Metric of Hamming Distance [J].
Ruan, Yue ;
Xue, Xiling ;
Liu, Heng ;
Tan, Jianing ;
Li, Xi .
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2017, 56 (11) :3496-3507
[40]   Quantum computation for large-scale image classification [J].
Ruan, Yue ;
Chen, Hanwu ;
Tan, Jianing ;
Li, Xi .
QUANTUM INFORMATION PROCESSING, 2016, 15 (10) :4049-4069