Abstract
A well-known technology called steganography is a strategy of hiding secrets that nobody will suspect the existence of secrets in cover medium. This paper indicates a novel and reversible steganographic protocol based on transformation of secrets to be transmitted covertly in high-frequencies waves carried by a public audio. In principle: a secret is first turned into a digital wave, and then lifted to a radio frequency. The radio-frequency signal is out of the threshold corresponding to human beings’ awareness and will be put onto an audio that could be downloaded by receivers legally. A receiver can lift down the radio-frequency wave and drain out the secret. The proposed technology decreases the risk greatly about preventing secrets from explosion during a transition. Experiments, comparisons and analyses are also performed to investigate practicability and superior performance compared with state-of-the-art steganographic schemes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shiu, H.J., Lin, B.S., Lin, B.S., Huang, P.Y., Huang, C.H., Lei, C.L.: Data hiding on social media communications using text steganography. In: Cuppens, N., Cuppens, F., Lanet, J.L., Legay, A., Garcia-Alfaro, J. (eds.) CRiSIS 2017. LNCS, vol. 10694, pp. 217–224. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76687-4_15
Hsu, H.Z., Lee, R.C.T.: DNA based encryption methods. In: The 23rd workshop on combinatorial mathematics and computation theory, pp. 545 (2006)
Shiu, H.J., Lin, B.S., Huang, C.H., Chiang, P.Y., Lei, C.L.: Preserving privacy of online digital physiological signals using blind and reversible steganography. Comput. Methods Programs Biomed. 151, 159–170 (2017)
Bender, W., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Syst. J. 35(3/4), 313–336 (1996)
Swanson, M.D., Zhu, B., Tewfik, A.H., Boney, L.: Robust watermarking using perceptual masking. Sig. Process. 66(3), 337–355 (1998)
Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)
Wu, S., Huang, J., Huang, D., Shi, Y.Q.: Efficiently self-synchronized audio watermarking for assured audio data transmission. IEEE Trans. Broadcast. 151(1), 69–76 (2005)
Chen, O.T.-C., Wu, W.-C.: Highly robust, secure, and perceptual-quality echo hiding scheme. IEEE Trans. Audio, Speech, Lang. Process. 16(3), 629–638, March 2008
Shiu, H.J., Lin, B.S., Cheng, C.W., Huang, C.H., Lei, C.L.: High-capacity data-hiding scheme on synthesized pitches using amplitude enhancement-a new vision of non-blind audio steganography. Symmetry 9(6), 92 (2017)
Akhaee, M.A., Saberian, M.J., Feizi, S., Marvasti, F.: Robust audio data hiding using correlated quantization with histogram-based detector. IEEE Trans. Multimedia 11(5), 834–842 (2009)
Tian, H., Jiang, H., Zhou, K., Feng, D.: Transparency-orientated encoding strategies for voice-over-ip steganography. Comput. J. 55(6), 702–716 (2011)
Tian, H., et al.: Improved adaptive partial-matching steganography for voice over IP. Comput. Commun. 70, 95–108 (2015)
Tian, H., et al.: Optimal matrix embedding for voice-over-IP steganography. Sig. Process. 117, 33–43 (2015)
Nishimura, A.: Reversible audio data hiding based on variable error-expansion of linear prediction for segmental audio and G.711 speech, IEICE Trans. Inf. Syst. E99-D(1), 83–91 (2016)
Xiang, S., Li, Z.: Reversible audio data hiding algorithm using noncausal prediction of alterable orders. EURASIP J. Audio Speech Music Process. 2017(1), 1–16 (2017). https://doi.org/10.1186/s13636-017-0101-9
Parthasarathi, M., Shreekala, T.: Secured data hiding in audio files using audio steganography algorithm. Int. J. Pure Appl. Math. 116(21), 619–628 (2017)
Ali, A.H., George, L.E., Zaidan, A.A., Modhtar, M.R.: High Capacity, Transparent and Secure Audio Steganography Model Based on Fractal Coding and Chaotic Map in Temporal Domain, vol. 77, pp. 31487–31516 (2018)
X. Liu, H. Tian, Y. Huang and J. Lu, “A Novel Steganography Method for Algebraic-Code-Excited-Linear-Prediction Speech Streams Based on Fractional Pitch Delay Search,” vol. 78, pp. 8447–8461, 2019
Dai, Y., Liu, W., Liu, G., Ji, X., Zhai, J.: An End-To-End Generative Network for Environmental Sound-Based Covert Communication, vol. 78, pp. 8635–8653 (2019)
Said, E.E.K., Noha, O.K., Marwa, H.E.S.: Highly Secured Image Hiding Technique in Stereo Audio Signal Based on Complete Complementary Codes, vol. 78, pp. 34373–34395 (2019)
Javad, C., Mohammad, M., Saeed, R.H.: A Novel Quantum Steganography-Steganalysis System for Audio Signals, Multimedia Tools and Applications (2020)
Su, Z., Li, W., Zhang, G., Hu, D., Zhou, X.: A steganographic method based on gain quantization for iLBC speech streams. Multimedia Syst. 26, 223–233 (2020)
Wu, J., Chen, B.: Audio steganography based on iterative adversarial attacks against convolutional neural networks. IEEE Trans. Inf. Forensics Secur. 15, 2282–2294 (2020)
Shiu, H., Lin, B., Lin, B., Lai, W.C., Huang, C.H., Lei, C.L.: A stereo audio steganography by inserting low-frequency and octave equivalent pure tones. In: Krömer, P., Alba, E., Pan, J.S., Snášel, V. (eds.) ECC 2017. AISC, vol. 682, pp. 244–253. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-68527-4_27
Lee, R.C.T., Chiu, M.C., Lin, J.S.: Communications Engineering: Essentials for Computer Scientists and Electrical Engineers, Wiley, Asia (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Shiu, HJ., Leu, FY., Lai, CM., Huang, YC. (2020). Novel Reversible Acoustic Steganography Based on Carrier Orthogonality. In: You, I. (eds) Information Security Applications. WISA 2020. Lecture Notes in Computer Science(), vol 12583. Springer, Cham. https://doi.org/10.1007/978-3-030-65299-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-65299-9_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65298-2
Online ISBN: 978-3-030-65299-9
eBook Packages: Computer ScienceComputer Science (R0)