A Secure Steganographic Technique for Embedding Text using Adaptive Pixel Pair Matching

K Madhuri; Ms C Padmini

A Secure Steganographic Technique for Embedding Text using Adaptive Pixel Pair Matching

K Madhuri * §

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Ms C Padmini

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§ Vardhaman College of Engineering

A Secure Steganographic Technique for Embedding Text using Adaptive Pixel Pair Matching

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Abstract

Steganography is a method of hiding secret messages in a cover object while communication takes place between sender and receiver. Generally data embedding is achieved in text, image, audio, video, network for the purpose of secret communication. This paper proposes a secure method for hiding text based on adaptive pixel pair matching (APPM). The basic idea of Pixel Pair Matching (PPM) is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a given message digit. The pixel pair is then replaced by the searched coordinate to conceal the digit. APPM allows users to select digits in any notational system for data embedding, and thus achieves a better image quality. Compared with the optimal pixel adjustment process (OPAP) Method and diamond encoding (DE), the proposed method always has lower distortion for various payloads. This paper proposes an extension to conceal text into an image for conveying secret messages confidentially.

References

13 Cites in Article

Reference Format

A Novel Data Embedding Method Using Adaptive Pixel Pair Matching.
Rajashree Shitole (2013). A novel image hiding scheme by Optimal Pixel Pair Matching and Diamond Encoding.
Akhil P. V,Akbersha K. E.,Mohammed Sidheeque (2014). Edge Adaptive Image Steganography Based on Adaptive Pixel Pair Matching.
Jessica Fridrich (2009). Steganography in Digital Media.
N Provos,P Honeyman (2003). Hide and seek: An introduction to steganography.
A Cheddad,J Condell,K Curran,P Mckevitt (2010). Digital image steganography: Survey and analysis of current methods.
Tomáš Filler,Jan Judas,Jessica Fridrich (2010). Minimizing embedding impact in steganography using trellis-coded quantization.
S Lyu,H Farid (2006). Steganalysis Using Higher-Order Image Statistics.
Jessica Fridrich,Miroslav Goljan,Rui Du (2001). Reliable detection of LSB steganography in color and grayscale images.
A Ker (2005). Steganalysis of LSB matching in grayscale images.
C Chan,L Cheng (2004). Hiding data in images by simple LSB substitution.
J Mielikainen (2006). LSB matching revisited.
Xinpeng Zhang,Shuozhong Wang (2006). Efficient Steganographic Embedding by Exploiting Modification Direction.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

K Madhuri, Ms C Padmini. 2015. "A Secure Steganographic Technique for Embedding Text using Adaptive Pixel Pair Matching". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 14 (GJRE Volume 14 Issue J6).

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GJRE Volume 14 Issue J6

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

diamond encoding least significant bit method pixel pair matching Steganography

Classification

GJRE-J Classification FOR Code: 291899

Submission ReceivedDecember 16, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

January 6, 2015

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering

Authors: K Madhuri, Ms C Padmini (PhD/Dr. count: 0)

View Count (all-time): 390

Total Views (Real + Logic): 1150

Total Downloads (simulated): 60

Publish Date: 2014 01, Wed

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Total Views: 1.2K

Total Downloads: 60

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