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FS-EHS: Harmony Search Based Feature Selection Algorithm for Steganalysis Using ELM

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Innovations in Bio-Inspired Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 424))

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Abstract

The process of steganalysis involves feature extraction and classification based on feature sets. The high dimension of feature sets used for steganalysis makes classification a complex and time-consuming process, thus it becomes important to find an optimal subset of features while retaining high classification accuracy. This paper proposes a novel feature selection algorithm to select reduced feature set for multi-class steganalysis. The proposed algorithm FS-EHS is based on the swarm optimization technique Harmony Search using Extreme Learning Machine. The classification accuracy computed by Extreme Learning Machine is used as fitness criteria, thus taking advantage of the fast speed of this classifier. Steganograms for conducting the experiments are created using several common JPEG steganography techniques. Experiments were conducted on two different feature sets used for steganalysis. ELM is used as classifier for steganalysis. The experimental results show that the proposed feature selection algorithm, FS-EHS, based on Harmony Search effectively reduces the dimensionality of the features with improvement in the detection accuracy of the steganalysis process.

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Authors and Affiliations

  1. Department of Computer Science, University of Delhi, Delhi, India

    Veenu Bhasin, Punam Bedi, Neha Singh & Charu Aggarwal

Authors
  1. Veenu Bhasin
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  2. Punam Bedi
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  3. Neha Singh
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  4. Charu Aggarwal
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Corresponding authors

Correspondence to Veenu Bhasin or Punam Bedi .

Editor information

Editors and Affiliations

  1. Dep. of Computer Science, VŠB – Technical Univ. of Ostrava, Ostrava, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Net Innov & Res Excel, Auburn, Washington, USA

    Ajit Abraham

  3. Faculty of Elec. Eng. & Comp. Sci., VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Pavel Krömer

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  5. Fac of Info & Comm, Comp Inte & Tech Lab, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Bhasin, V., Bedi, P., Singh, N., Aggarwal, C. (2016). FS-EHS: Harmony Search Based Feature Selection Algorithm for Steganalysis Using ELM. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_34

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  • DOI: https://doi.org/10.1007/978-3-319-28031-8_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28030-1

  • Online ISBN: 978-3-319-28031-8

  • eBook Packages: EngineeringEngineering (R0)

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