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A Novel Edge Based Chaotic Steganography Method Using Neural Network

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 516))

Abstract

This paper provides a method of hiding sensitive information in digital image. In this paper, we introduce a chaotic edge based steganography techniques based on artificial neural network. First we find the edges of image using artificial neural network which is given by Jinan Gu et al. Secondly, the key based chaotic scheme is used to disperse the bits of the secret message randomly into edge pixel of the image to produce the stego image that take advantage of edge detection techniques. Finally the experiment results show the higher value of PSNR that indicate that there is no difference between the original and stego image. Therefore the proposed algorithms are dependent on the key which make it robust and can protect the secret data from stealing. The experimental results show the satisfactory performance of proposed method based on edge detection techniques.

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References

  1. S. Alam, A. Jamil, A. Saldhi, M. Ahmad, Digital image authentication and encryption using digital signature, in International Conference on Advances in Computer Engineering and Applications (ICACEA), vol. 19–20 (March 2015), pp. 332–336. ISBN:978-1-4673-6911-4/15

    Google Scholar 

  2. Z. Li, X. Chen, X. Pan, X. Zeng, Lossless data hiding scheme based on adjacent pixel difference, in Proceedings of the International Conference on Computer Engineering and Technology, (2009), pp. 588–592

    Google Scholar 

  3. S. Islam, P. Gupta, Revisiting least two significant bits steganography, in Proceedings of the 8th International Conference on Intelligent Information Processing (ICIIP), Seoul, Republic of Korea, 1–3 April 2013, pp. 90–93

    Google Scholar 

  4. S. Alam, V. Kumar, W.A. Siddiqui, M. Ahmad, Key-dependent image steganography using edge detection, in International Conference on Advanced Computing & Communication Technologies, (2014), pp. 85–88

    Google Scholar 

  5. S. Alam, S.M. Zakariya, M.Q. Rafiq, Analysis of modified LSB approaches of hiding information in digital images, in International Conference on Computational Intelligence and Communication Systems, (IEEE, Hybrid Intelligent Systems, 2013), pp. 280–285. ISBN 978-1-4799-7633-1/14/2014

    Google Scholar 

  6. S. Islam, M.R. Modi, P. Gupta, Edge-based image steganography. EURASIP J. Inf. Secur. 2014, 8, (2014). http://jis.eurasipjournals.com/content/2014/1/8

  7. M.R. Modi, S. Islam, P. Gupta, Edge based steganography on colored images, in 9th International Conference on Intelligent Computing (ICIC). Lecture Notes in Computer Science, vol. 7995 (Springer, Berlin, 2013), pp. 593–600

    Google Scholar 

  8. J.F. Canny, Finding edges and lines in images, Master’s thesis, MIT. AI Lab. TR-720 (1983)

    Google Scholar 

  9. W.J. Chen, C.C. Chang, T.H.N. Le, High payload steganography mechanism using hybrid edge detector. Expert Syst. Appl. 37(4), 3292–3301 (2010)

    Article  Google Scholar 

  10. Y.H. Kuo, C.S. Lee, C.C. Liu, A new fuzzy edge detection method for image enhancement, in Proceedings of the 6th IEEE International Conference on Fuzzy Systems, vol. 2, (1997), pp. 1069–1074

    Google Scholar 

  11. J. Gu, Y. Pan, H. Wang, Research on the improvement of image edge detection algorithm based on artificial neural network. Optik 126, 2974–2978 (2015)

    Google Scholar 

  12. J. Canny, A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI 8(6), 679–698 (1986)

    Google Scholar 

  13. R.M. May, Simple mathematical model with very complicated dynamics. Nature 261, 459–467 (1967)

    Article  Google Scholar 

  14. S. Alam, S.M. Zakariya, N. Akhtar, Analysis of modified Triple-A steganography technique using fisher yates algorithm, in International Conference on Hybrid Intelligent Systems, (2014). ISBN 978-1-4799-7633-1/14/2014

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India

    Shahzad Alam, Tanvir Ahmad & M. N. Doja

Authors
  1. Shahzad Alam
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  2. Tanvir Ahmad
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  3. M. N. Doja
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Corresponding author

Correspondence to Shahzad Alam .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg. Anil Neerukonda Inst. of Tech. & Sci., Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

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

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Alam, S., Ahmad, T., Doja, M.N. (2017). A Novel Edge Based Chaotic Steganography Method Using Neural Network. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-10-3156-4_48

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  • DOI: https://doi.org/10.1007/978-981-10-3156-4_48

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3155-7

  • Online ISBN: 978-981-10-3156-4

  • eBook Packages: EngineeringEngineering (R0)

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