Exploring the Implementation of Steganography Protocols on Quantum Audio Signals

Two quantum audio steganography (QAS) protocols are proposed, each of which manipulates or modifies the least significant qubit (LSQb) of the host quantum audio signal that is encoded as an FRQA (flexible representation of quantum audio) audio content. The first protocol (i.e. the conventional LSQb QAS protocol or simply the cLSQ stego protocol) is built on the exchanges between qubits encoding the quantum audio message and the LSQb of the amplitude information in the host quantum audio samples. In the second protocol, the embedding procedure to realize it implants information from a quantum audio message deep into the constraint-imposed most significant qubit (MSQb) of the host quantum audio samples, we refer to it as the pseudo MSQb QAS protocol or simply the pMSQ stego protocol. The cLSQ stego protocol is designed to guarantee high imperceptibility between the host quantum audio and its stego version, whereas the pMSQ stego protocol ensures that the resulting stego quantum audio signal is better immune to illicit tampering and copyright violations (a.k.a. robustness). Built on the circuit model of quantum computation, the circuit networks to execute the embedding and extraction algorithms of both QAS protocols are determined and simulation-based experiments are conducted to demonstrate their implementation. Outcomes attest that both protocols offer promising trade-offs in terms of imperceptibility and robustness.

[1]  R. Feynman.  Simulating physics with computers , 1999 .

[2]  D. Deutsch.  Quantum theory, the Church–Turing principle and the universal quantum computer , 1985, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[3]  Peter W. Shor,et al.  Algorithms for quantum computation: discrete logarithms and factoring , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

[4]  Tapio Seppänen,et al.  Increasing robustness of LSB audio steganography using a novel embedding method , 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..

[5]  Kaoru Hirota,et al.  A Flexible Representation and Invertible Transformations for Images on Quantum Computers , 2011 .

[6]  Kaoru Hirota,et al.  A FRAMEWORK FOR REPRESENTING AND PRODUCING MOVIES ON QUANTUM COMPUTERS , 2011 .

[7]  Ronak Karimi,et al.  Audio Steganography: A Survey on Recent Approaches - TI Journals , 2012 .

[8]  Kaoru Hirota,et al.  Watermarking and authentication of quantum images based on restricted geometric transformations , 2012, Inf. Sci..

[9]  Abdullah M. Iliyasu.  Towards Realising Secure and Efficient Image and Video Processing Applications on Quantum Computers , 2013, Entropy.

[10]  Kaoru Hirota,et al.  A two-tier scheme for greyscale quantum image watermarking and recovery , 2013 .

[11]  Fei Yan,et al.  Hybrid Quantum-Classical Protocol for Storage and Retrieval of Discrete-Valued Information , 2014, Entropy.

[12]  Bo Sun,et al.  A duple watermarking strategy for multi-channel quantum images , 2015, Quantum Inf. Process..

[13]  Shen Wang,et al.  Least significant qubit (LSQb) information hiding algorithm for quantum image , 2015 .

[14]  Huamin Yang,et al.  Video Encryption and Decryption on Quantum Computers , 2015, International Journal of Theoretical Physics.

[15]  Nan Jiang,et al.  LSB Based Quantum Image Steganography Algorithm , 2015, International Journal of Theoretical Physics.

[16]  Kaoru Hirota,et al.  Metric for Estimating Congruity between Quantum Images , 2016, Entropy.

[17]  Zhengang Jiang,et al.  Multi-Channel Quantum Image Scrambling , 2016, J. Adv. Comput. Intell. Intell. Informatics.

[18]  Jian Wang,et al.  QRDA: Quantum Representation of Digital Audio , 2016 .

[19]  Fei Yan,et al.  A survey of quantum image representations , 2015, Quantum Information Processing.

[20]  Suzhen Yuan,et al.  Quantum Image Filtering in the Spatial Domain , 2017 .

[21]  Fei Yan,et al.  Quantum image processing: A review of advances in its security technologies , 2017 .

[22]  Huamin Yang,et al.  Flexible representation and manipulation of audio signals on quantum computers , 2017, Theor. Comput. Sci..