A New Image Steganography Technique for Hiding the Data in Multi Layers of the PNG Images

Authors

  • Jyothula Dharma Teja  Department of Computer Science and Engineering Indian Institute of Technology (ISM),Dhanbad, Jharkhand, India
  • A Chandra Sekhara Rao  Department of Computer Science and Engineering B.V. Raju Institute of Technology, Narsapur, Telangana, India
  • Suresh Dara  

Keywords:

Steganography, data hiding, Least Significant Bit (LSB), Multi layer,RGB

Abstract

Steganography is a process of hiding the secret data in disguised form to conceal the Presence of secret data and the original form of its existence. In this paper a new Steganography method is proposed which uses multiple layers to hide the data. The method proposed is a PNG image based technique .Unlike the other data hiding Methods in which bmp or gif file format is used this method uses PNG images in which the originality of RGB layer is highly preserved even after Stegonating the Image. In this multi layer approach we Proposed a method for both text to image, and image to image Steganography, In this method The plain text is encoded into the cover image, and resultant image is obtained with plain text embedded in it, and the resultant image is further encoded inside other cover image as second resultant image, with image embedded in it, by this approach the how secret data stored and the form of its existence is highly unpredictable, it is highly Robust from Attacks even a positive attack cannot produce the exact results of secret data as the data is stored in different forms in different layers. so in this proposed method security is highly enhanced and the hiding capacity is highly Improved.

References

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Published

2017-09-30

Issue

Section

Research Articles

How to Cite

[1]
Jyothula Dharma Teja, A Chandra Sekhara Rao, Suresh Dara, " A New Image Steganography Technique for Hiding the Data in Multi Layers of the PNG Images , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.104-112, September-2017.