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Real Time Audio Steganographic Countermeasure

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Data Engineering and Intelligent Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

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Abstract

Steganographic techniques are used to embed data into a cover file using different algorithms. In this paper audio steganography countermeasure is discussed which uses a technique called double stegging or steganographic jamming where variations of LSB embedding algorithms are used for audio steganography prevention which can be used in real time under acceptable information loss. We then proceed to show that this method renders hidden embedded data unrecoverable. The resulting audio quality after Steganographic Jamming is evaluated. Mean Opinion Score and Signal to Noise Ratio are used to calculate the quality of output audio file which shows the effectiveness of the technique described.

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References

  1. Nutzinger, M.: Real time attacks on audio steganography. J. Inf Hiding Multimed. Signal Process. 3(1), (2012) ISSN 2073-4212

    Google Scholar 

  2. Kim, C., Stern, R.M.: Robust Signal-to-Noise Ratio Estimation Based on Waveform Amplitude Distribution Analysis. In: Interspeech pp. 2598–2601 (2008)

    Google Scholar 

  3. Thwarting Audio Steganography Attacks in Cloud Storage Systems. In: International Conference on Cloud and Service Computing, pp. 259–265

    Google Scholar 

  4. De Rango, F., Tropea, M., Fazio, P., Marano, S.: Overview on VoIP: subjective and objective measurement methods, IJCSNS Int. J. Comput. Sci. Netw. Secur. 6(1B), (2006)

    Google Scholar 

  5. Katzenbeisser, S., Petitcolas, F.A.P.: Information Hiding Techniques for Steganography and Digital Watermarking, pp. 121–148. Artech House, Boston, London (2000)

    Google Scholar 

  6. Basu, P.N., Bhowmik, T.: on embedding of text in audio-a case of steganography. In: Proceedings. Of International Conference on Recent Trends in Information, Telecommunication and Computing, pp. 203–206 (2010)

    Google Scholar 

  7. Shelley, L., Picarelli, J.: Methods not motives: Implications of the convergence of international organized crime and terrorism. Int. J. Police Pract.Res. 3, 305–318 (2002)

    Article  Google Scholar 

  8. Al-Ani, Z.K., Zaidan, A.A., Zaidan, B.B., Alanazi, H.O.: Overview: Main fundamentals for steganography. J. Comp. 2(3), 158–165 (2010)

    Google Scholar 

  9. Adee, S.: Spy vs. spy. http://spectrum.ieee.org/computing/software/spy-vs-spy/

  10. Ellis, D.: Lab for Recognition and Organization of Speech and Audio (LabROSA.) http://labrosa.ee.columbia.edu/projects/snreval/

  11. Karadogan, I., Das, R.: An examination on information hiding tools for steganography. Int. J. Inf. Secur. Sci. 33, 200–208

    Google Scholar 

  12. PESQ reference implementation software P.862 recommendation. http://www.itu.int/rec/T-REC-P.862-200511-I!Amd2/en

  13. Recommendation ITU-T P. 862, Perceptual evaluation of speech quality: an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, Technical report (2001)

    Google Scholar 

  14. Premalatha, P., Amritha, P.P.: Optimally locating for hiding information in audio signal. Int. J. Comput. Appl. (0975–8887) 65 (14), (2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. TIFAC CORE in Cyber Security, Amrita School of Engineering, Coimbatore, India

    T M Srinivas

  2. Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    P P Amritha

Authors
  1. T M Srinivas
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  2. P P Amritha
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Corresponding author

Correspondence to T M Srinivas .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2018 Springer Nature Singapore Pte Ltd.

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Srinivas, T.M., Amritha, P.P. (2018). Real Time Audio Steganographic Countermeasure. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_27

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

  • eBook Packages: EngineeringEngineering (R0)

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