Nesting of five modulus method with improved lsb subtitution to hide an image in image

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 129
NESTING OF FIVE MODULUS METHOD WITH IMPROVED LSB
SUBTITUTION TO HIDE AN IMAGE IN IMAGE
Praneeta Dehare1
, Sheela Verma2
1
M.E (CTA) Scholar, Department of Computer Science & Engineering, SSGI, SSTC, Bhilai, Chhattisgarh, India
2
Assistant Professor, Department of Computer Science & Engineering, SSGI, SSTC, Bhilai, Chhattisgarh, India
Abstract
Steganography refers to the process of hiding secret message inside an appropriate multimedia carrier e.g. image, audio and video
files. Today, by using of wireless communication more data are available electronically, which can leak from the medium where the
data transmission takes place. The goal of steganography is to communicate very securely, which is completely undetectable from the
medium. In this paper image steganography has used, where a secret image can transfer within an image called cover image. To hide
a secret image in cover image, both the images embedded by using two techniques. The first algorithm called five modulus methods
applied on the half of the both images (Secret and Cover Image) and rest of the parts of images embedded with improved LSB
substitution technique. A private stego-key is also used on half parts of both images while applying FMM algorithms to make the
detection of secret image from the cover image more difficult for any unauthorized recipients. The paper uses two algorithms for
embedding the both secret and cover images, so for nesting of two algorithms make it difficult for any opponent (who has not involved
in communication parties) to extract the hidden image from cover image.
Keywords: Image Steganography, Cryptography, Five Modulus Method, Improved LSB Substitution, Security.
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1. INTRODUCTION
In today's electronic era, steganography is an art and science
of hidden communication. The word steganography is of
Greek origin and means "concealed writing" from the Greek
words where steganos stands for covered or protected and
graphei is for writing, which originated as far back as
440(B.C.). Steganography is an ability to hide information in
cover media, so that no one apart from the intendant recipients
even knows that the message transmission is taking place.
Through the development of electronic devices, the rapid
growth of wireless communication has increased. Security and
privacy in these wireless communications has desired when
any secret or confidential information has shared between two
parties. Many hackers try to attack on channels where the data
transmission has processed. So the possibility of intrusion
increased when the systems used internet extensively.
Therefore sharing information via internet becomes a major
issue for user and developers. To overcome on this problem
steganography has used through various digital media like
text, image, audio and video files. The advantage of
steganography over cryptography is that the steganography
hides the existence of communication, where cryptography
allowed the unintended recipients to detect the transmission of
information on channel; it only keeps the contents of a
message secret. Secret information can be hidden inside any
cover information. To explain the procedure R. Doshi, P. Jain
and L. Gupta [5] provides a generic description of the pieces
of the steganographic process as:
cover_medium + hidden_data + stego_key = stego_medium.
The main aim of using the steganography is to prevent
detection of secret information from the unauthorized parties.
2. RELATED WORK
The data hiding process for embedding the information into
any digital content can be done by steganography techniques
without causing perceptual. To hide data, the popular
techniques used are watermarking, steganography and
cryptography. In ancient Greek, research on steganography
techniques has done. On that time a secret message tattooing
on the shaved head of a messenger and before sending him to
the destination letting his hair to grow back. The famous
method used in around 400 B.C. is tradition steganography
technique in which the document marked with invisible ink lie
lemon juice.
There are various techniques proposed for image
steganography. The most popular technique which is the
simplest and widest known steganography method is Least
Significant bit, which replaces the least significant bit of
pixels selected to hide the content that holds information.
Complete discussion on LSB could be found in [1]. Further an
improved LSB substitution method used by V. K. Sharma and
V. Shrivastava in [3], where MSB of secret image in to LSB
of cover image get embedded. A. Sharma, A. Agrawal and V
Kumar introduced a technique [4], where large amount of data
could be hidden in enciphered with the help of secret key,

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which is then embedded at the end of image and then again
deciphered with the help of same key. There are several
another steganography techniques to hide data inside in image
discussed by many researchers in [6-9]. El-Sayed M. El-Alfy
and Azzat A. Al-Sadi [6] used the pixel-value differencing
method, where the grayscale/color changes by adopting the
number of embedded bits, which leads to increase the capacity
of embedding without losing quality of image. Joyshree Nath
and Asoke Nath [7] introduced a randomization method where
the encryption and decryption takes place for generating the
randomized key matrix. They used two methods (i) the secret
message encrypted, and (ii) the encrypted secret message
inserted into the cover file.
Ajit Danti and Preethi Acharya [8] presented, a novel image
steganography method based on randomized bit embedding.
This method has done by using two processes; first the
Discrete Cosine Transform (DCT) of the cover image obtained
then the stego image constructed by hiding the secret image in
Least Significant Bit of he cover image in random locations.
Matus Jokay and Tomas Moravcık [9] deal with the
steganographic algorithm LSB (Least Significant Bits) in
images (JPEG). It concentrates on minimizing of the number
of modified DCT coefficients using Hamming codes. Also,
good theoretical knowledge about steganography and
steganalysis could be studied in [10-12].
3. BASICS OF EMBEDDING DATA
In steganographic technique embedding of information or
message, which is form of any media files like plain text,
cipher text, images, audio or video; is to be hidden into an
another digital file. There are three different features in
information hiding system: security, capacity and robustness.
Capacity refers to the amount of information that could be
hidden in the cover media, security to an unauthorized
recipients’s inability to detect hidden data, and robustness is
on to the amount of modification on stego medium can
withstand before an adversary can destroy hidden information
[9].
This paper uses the image steganography for embedding the
information. The image which holds the hidden information
called cover image. The second file is the message which is to
be hidden. This message could be any digital file.
Information hiding system relates with both watermarking and
steganography, where watermarking concentrate on to the
high level of robustness and steganography focuses on
security and capacity of the embedded data. While embedding
the data into cover media, it is necessary that the intended
recipients knows the secret key when the steganography
communication is taking place between them.
Many different ways and techniques used to hide information
in image. Some known methods which included the secret
data into image are;
 Least significant bit insertion,
 Masking and filtering and,
 Transformation techniques and algorithm.
These techniques could be applied with varying degrees of
success on different image files [12].
4. PROPOSED METHODOLOGY
This paper used two methods called Five Modulus Method
and Improved LSB Substitution method, proposed by Firas A.
Jassim [2] and V. K. Sharma - V. Shrivastava [3] respectively.
The proposed method intends to use of image steganography,
where an image (secret) can transfer in an image (cover) by
nesting the methods five modulus method and Improved LSB
Substitution.
In proposed technique,
 The secret image gets partitioned into two parts. The
first part of the image hides into cover image by
applying Five Modulus Method. Moreover, a private
stego-key also combined with this algorithm to make
it difficult for any unauthorized recipients to extract
the secret image from the cover image.
Fig -1: Embedding Secret Image in Cover Image
(Sender Side)
 The Stego Image has sent over the channel to the
recipients, where the secret image needs to be
transferred.
 On the receiver side the stego image receives, and by
applying the same private stego key, the secret image
extracted from the cover image.
Secret Image
Secret Image-I
Cover
Image
Secret Image-II
Stego
Image
Private Stego Key
Partition 1
Partition 2
FMM
LSB

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Fig -2: Extracting the Secret Image from Cover
Image (Receiver Side)
4.1 Five Modulus Method
Idea behind FMM is to transform the whole image into
multiples of five. Proposed technique used a digital image.
Digital Image Background – A Digital image is representing
as a rectangular array of dots or pixels, arranged in M (rows)
X N (columns) array. In digital color image, each pixel stored
into three bytes; the pixel of array constructed by combining 3
different channel (RGB), where each channel represent a value
from 0 to 255. To find the pixels value and place we can
partition the image in no of k x k windows. The FMM method
will be applied for both the cover and the stego images.
4.2 Improved LSB Substitution Method
It is a steganographic algorithm for 8bit (grayscale) or 24 bit
(colour image). Based on Logical operation algorithm
embedded MSB of secret image in to LSB of cover image.
This way, the cover image’s n LSB, from a byte is replaced by
secret image’s n MSB. The image quality of the stego-image
could be improved with low extra computational complexity.
Better PSNR is achieved by this technique because results
show that the stego-image is visually indistinguishable from
the original cover-image when n<=4, where n= number of
Significant Bits.
5. EXPECTED OUTCOME
This paper proposed the two methods which are nested to
provide more security on image steganography. The Five
Modulus Method reduces the original pixels range from
0...255 into 0...51. It provides a good image quality without
any dissimilarity between the original stego image and
constructed stego image. The LSB provides a low data
computation complexity. A stego key also used with the cover
image to make the way of extracting information from the
communication channel more difficult for unauthorized
recipients. By using these two methods a good balance
between the security and image quality can be achieved.
REFERENCES
[1]. R. Chandramouli and N. Memon, “Analysis of LSB based
image steganography techniques”, Proceedings 2001
International Conference on Image, Vol. 3, pp. 1019-1022.
[2]. Firas A. Jassim, “Hiding Image in Image by Five Modulus
Method for Image Steganography” Journal of computing,
volume 5, issue 2, April 2013, 2151-9617.
[3]. Vijay Kumar Sharma and Vishal Shrivastava, “A
steganography algorithm for hiding image in image by
improved LSB substitution by minimizes detection”, Journal
of Theoretical and Applied Information Technology, volume
36, February 2012, ISSN: 1992-8645.
[4]. Adity Sharma, Anoo Agarwal and Vinay Kumar, “A
simple technique for steganography”, arXiv: 1307.8385v1
[cs.MM] 31 Jul 2013.
[5]. R. Doshi, P. Jain and L. Gupta, “Steganography and Its
Applications in Security”, International Journal of Modern
Engineering Research (IJMER), Volume 2, Issue 6, pp. 4634-
4638, ISSN: 2249-6645, Dec 2012.
[6]. El-Sayed M. El-Alfy and Azzat A. Al-Sadi, “Pixel-Value
Differencing Steganography: Attacks and Improvements”, the
Second International Conference on Communications and
Information Technology (ICCIT), Feb 2012.
[7]. Joyshree Nath and Asoke Nath, “Advanced
Steganography Algorithm using Encrypted secret message”,
International Journal of Advanced Computer Science and
Applications, (IJACSA, Volume. 2, No.3, March 2011.
[8]. Ajit Danti and Preethi Acharya, “Randomized Embedding
Scheme Based on DCT Coefficients for Image
Steganography”, IJCA Special Issue on “Recent Trends in
Image Processing and Pattern Recognition” RTIPPR, 2010.
[9]. Matus Jokay and Tomas Moravcik, “IMAGE-BASED
JPEG STEGANOGRAPHY”, Tatra Mt. Math. Publ. 45
(2010), 65–74. DOI: 10.2478/v10127-010-0006-9.
[10]. Niels Provos and Peter Honeyman, “Hide and Seek: An
Introduction to Steganography", Security & Privacy, IEEE,
Volume 1, Issue 3, p. 32 – 44, ISSN: 1540-7993, June 2003.
[11]. Bret Dunbar, “A Detailed look at Steganographic
Techniques and their use in an Open-Systems Environment”
SANS Institute 2002.
[12]. Neil F. Johnson and Sushil Jajodia, “Exploring
Steganography: Seeing the Unseen”, Computer, Volume
31, Issue 2, p. 26-34, ISSN: 0018-9162, Feb. 1998.
BIOGRAPHIES
Praneeta Dehare is a final year student of ME
(CTA) of SSGI, SSTC, Bhilai, Chhattisgarh.
She holds a bachelor’s degree (BE) in
Computer Science & Engineering from
Chhattisgarh Swami Vivekananda Technical
University. Her area of interest in the field of
research includes Cryptography & Steganography.
Stego
Image
Cover
Image
Private Stego Key
Secret Image-I
Secret Image-II
Secret Image
FMM
LSB

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Sheela Verma is an Assistant Professor in
Department of CSE in SSGI, SSTC, Bhilai,
Chhattisgarh. She holds a Master’s degree
(ME) in Computer Technology & Application
and Bachelor’s degree (BE) in CSE. She has 4
years of experience with area of specialization
in the Field of Cryptography and Steganography.

Nesting of five modulus method with improved lsb subtitution to hide an image in image

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Nesting of five modulus method with improved lsb subtitution to hide an image in image