Skip to main content
SpringerLink
Log in

Image Modelling: A Feature Detection Approach for Steganalysis

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

Included in the following conference series:

Abstract

The most popular challenges in steganalysis is to identify the characterstics, to discover the stego-images. In this, we derive a steganalysis measure using Gaussian distribution, for image modeling. By using Gaussian distribution model the distribution of DCT coefficients and quantify a ratio of two Fourier coefficients of the distribution of DCT coefficients [9]. This derive steganalysis measure is evaluated against three steganographic methods i.e. first one is LSB (Least Significant Bit), the second one is SSIS (Spread Spectrum Image Steganography), and the last one is Steg-Hide tool, which is based on graph theoretic approach. Classification of image features dataset is done by using different classification techniques such as SVM.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Adhiya, K.P., Patil, S.A.: Hiding text in audio using LSB based steganography. Inf. Knowl. Manag. 2(3), 8–15 (2012)

    Google Scholar 

  2. Lyu, S., Farid, H.: Steganalysis using higher-order image statistics. IEEE Trans. Inf. Forensics Secur. 1(1), 111–119 (2006)

    Article  Google Scholar 

  3. Avcibas, I., Menon, N., Sankur, B.: Steganalysis using image quality metrics. IEEE Trans. Image Process. 12(2), 221–229 (2003)

    Article  MathSciNet  Google Scholar 

  4. Fridrich, J.: Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 67–81. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30114-1_6

    Chapter  Google Scholar 

  5. Dumitrescu, S., Wu, X., Wang, Z.: Detection of LSB steganography via sample pair analysis. IEEE Trans. Sig. Process. 51(7), 1999–2007 (2003)

    Article  MATH  Google Scholar 

  6. Marvel, L., Boncelet Jr., C., Retter, C.: Spread spectrum image steganography. IEEE Trans. Image Process. 8(8), 1075–1083 (1999)

    Article  Google Scholar 

  7. Hetzl, S., Mutzel, P.: A graph–theoretic approach to steganography. In: Dittmann, J., Katzenbeisser, S., Uhl, A. (eds.) CMS 2005. LNCS, vol. 3677, pp. 119–128. Springer, Heidelberg (2005). doi:10.1007/11552055_12

    Chapter  Google Scholar 

  8. Bera, S., Sharma, M.: A review on blind still image steganalysis techniques using features extraction and pattern classification method. IJCSEIT 2(3), 117–135 (2012)

    Article  Google Scholar 

  9. Gonzalez, F.P., Heileman, G.L., Quanch, T.T.: Model-based steganalysis using invariant features. In: Media Forensics and Security. Proceedings of SPIE, vol. 7254, p. 72540B, 4 February 2009. doi:10.1117/12.810507

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, GLBITM, Greater Noida, India

    Anuj Rani & Payel Goel

  2. Departmet of Computer Science, JIMS Engineering Management Technical Campus, Greater Noida, India

    Manoj Kumar

Authors
  1. Anuj Rani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manoj Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Payel Goel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Anuj Rani or Manoj Kumar .

Editor information

Editors and Affiliations

  1. Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Raghogarh, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Indira Gandhi Delhi Technical University, New Delhi, India

    Arun Sharma

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  6. Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    William Grosky

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Rani, A., Kumar, M., Goel, P. (2017). Image Modelling: A Feature Detection Approach for Steganalysis. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5427-3_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation