Compressive Sensing Based Audio Scrambling Using Arnold Transform

  • Nishanth Augustine
  • Sudhish N. George
  • P. P. Deepthi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 420)


In this paper, a novel idea for scrambling the compressive sensed audio data using two dimensional Arnold transform is presented. In the proposed method, Arnold matrix is constructed by the numbers generated by using a secret key and a logistic map. A key based measurement matrix is used for compressive sensing to avoid the transmission and storage requirement of the matrix and to improve the security. The combination of compressive sensing and arnold scrambling provides very high security and ensures efficient channel usage, resistivity to noise, best signal to noise ratio and good scrambling of data. Experimental results confirm the effectiveness of the proposed scheme.


Compressive Sense Audio Signal Measurement Matrix Reconstruction Quality Audio Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Candès, E.J., Wakin, M.B.: An introduction to compressive sampling. IEEE Signal Processing Magazine 25(2), 21–30 (2008)CrossRefGoogle Scholar
  2. 2.
    Del Re, E., Fantacci, R., Maffucci, D.: A new speech signal scrambling method for secure communications: theory, implementation, and security evaluation. IEEE Journal on Selected Areas in Communications 7(4), 474–480 (1989)CrossRefGoogle Scholar
  3. 3.
    Donoho, D.L.: Compressed sensing. IEEE Transactions on Information Theory 52(4), 1289–1306 (2006)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Huang, R., Rhee, K.H., Uchida, S.: A parallel image encryption method based on compressive sensing. In: Multimedia Tools and Applications, pp. 1–23 (2012)Google Scholar
  5. 5.
    Li, H., Qin, Z., Zhang, X., Shao, L.: An n-dimensional space audio scrambling algorithm based on random matrix. Journal of Xi’an Jiaotong University 4, 005 (2010)Google Scholar
  6. 6.
    Lin, Y., Abdulla, W.H.: A secure and robust audio watermarking scheme using multiple scrambling and adaptive synchronization. In: 2007 6th International Conference on Information, Communications & Signal Processing, pp. 1–5. IEEE (2007)Google Scholar
  7. 7.
    Madain, A., Dalhoum, A.L.A., Hiary, H., Ortega, A., Alfonseca, M.: Audio scrambling technique based on cellular automata. In: Multimedia Tools and Applications, pp. 1–20 (2012)Google Scholar
  8. 8.
    Nan, L., Yanhong, S., Jiancheng, Z.: An audio scrambling method based on fibonacci transformation. J. North China Univ. Technol. 16(3), 8–11 (2004)Google Scholar
  9. 9.
    Satti, M., Kak, S.: Multilevel indexed quasigroup encryption for data and speech. IEEE Transactions on Broadcasting 55(2), 270–281 (2009)CrossRefGoogle Scholar
  10. 10.
    Senk, V., Delic, V.D., Milosevic, V.S.: A new speech scrambling concept based on hadamard matrices. IEEE Signal Processing Letters 4(6), 161–163 (1997)CrossRefGoogle Scholar
  11. 11.
    Servetti, A., De Martin, J.C.: Perception-based partial encryption of compressed speech. IEEE Transactions on Speech and Audio Processing 10(8), 637–643 (2002)CrossRefGoogle Scholar
  12. 12.
    Shang, Z., Ren, H., Zhang, J.: A block location scrambling algorithm of digital image based on arnold transformation. In: The 9th International Conference for Young Computer Scientists, ICYCS 2008, pp. 2942–2947. IEEE (2008)Google Scholar
  13. 13.
    Tropp, J.A.: Greed is good: Algorithmic results for sparse approximation. IEEE Transactions on Information Theory 50(10), 2231–2242 (2004)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Nishanth Augustine
    • 1
  • Sudhish N. George
    • 1
  • P. P. Deepthi
    • 1
  1. 1.Department of Electronics and CommunicationNational Institute of TechnologyCalicutIndia

Personalised recommendations