Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Multi-agent Framework for Context-Aware Dynamic User Profiling for Web Personalization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Performance Evaluation of Features Extracted from DWT Domain

Authors : Manisha Saini, Rita Chhikara

Published in: Software Engineering

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The key task of Steganalyzer is to identify if a carrier is carrying hidden information or not. Blind Steganalysis can be tackled as two-class pattern recognition problem. In this paper, we have extracted two sets of feature vectors from discrete wavelet transformation domain of images to improve performance of a Steganalyzer. The features extracted are histogram features with three bins 5, 10, and 15 and Markov features with five threshold values 2, 3, 4, 5, 6, respectively. The performance of two feature sets is compared among themselves and with existing Farid discrete wavelet transformation features based on parameter classification accuracy using neural network back-propagation classifier. In this paper, we are using three Steganography algorithms outguess, nsF5 and PQ with various embedding capacities.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Design of Cyber Warfare Testbed
next chapter Control Flow Graph Matching for Detecting Obfuscated Programs
Literature
1.
Choudhary, K.: Image steganography and global terrorism. Glob. Secur. Stud. 3(4), 115–135 (2012)
2.
Cheddad, A., Condell, J., Curran, K., Mc Kevitt, P.: Digital image steganography: survey and analysis of current methods. Signal Processing 90, pp. 727–752 (2010)CrossRef
3.
Johnson, N.F., Jajodia, S.: Steganalysis the investigation of hidden information. In: Proceedings of the IEEE Information Technology Conference, Syracuse, NY, pp. 113–116 (1998)
4.
Nissar, A., Mir, A.H.: Classification of steganalysis techniques: a study. In: Digital Signal Processing, vol. 20, pp. 1758–1770 (2010)CrossRef
5.
Farid, H.: Detecting hidden messages using higher-order statistical models. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), vol. 2, pp. 905–908 (2002)
6.
7.
Fridrich, J., Pevný, T., Kodovský, J.: Statistically undetectable JPEG steganography: dead ends, challenges, and opportunities. In: Proceedings of the ACM Workshop on Multimedia & Security, pp. 3–14 (2007)
8.
Fridrich, J., Gojan, M., Soukal, D.: Perturbed quantization steganography. J. Multimedia Syst. 11, 98–107 (2005)CrossRef
9.
Ali, S.K., Beijie, Z.: Analysis and classification of remote sensing by using wavelet transform and neural network. In: IEEE 2008 International Conference on Computer Science and Software Engineering, pp. 963–966 (2008)
10.
Shimazaki, H., Shinomoto, S.: A method for selecting the bin size of a time histogram. Neural Comput. 19(6), 1503–1527 (2007)MathSciNetCrossRef
11.
Saini, M., Chhikara, R.: DWT feature based blind image steganalysis using neural network classifier. Int. J. Eng. Res. Technol. 4(04), 776–782 (2015)
12.
Pevný, T., Fridrich, J.: Merging Markov and DCT features for multi-class JPEG steganalysis. In: Proceedings of the SPIE, pp. 03–04 (2007)
13.
Bakhshandeh, S., Bakhshande, F., Aliyar, M.: Steganalysis algorithm based on cellular automata transform and neural network. In: Proceedings of the IEEE International Conference on Information Security and Cryptology (ISCISC), pp. 1–5 (2013)
Metadata
Title
Performance Evaluation of Features Extracted from DWT Domain
Authors
Manisha Saini
Rita Chhikara
Copyright Year
2019
Publisher
Springer Singapore
Book
Software Engineering

Print ISBN: 978-981-10-8847-6

Electronic ISBN: 978-981-10-8848-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-8848-3_25

Premium Partner

    Image Credits