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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2777
Digital Media Steganography
Siddhant Gaikhe1, Arjun Jadhav2, Ganesh Mortale3, Vikram Bhande4
Department of Computer Engineering,
Savitribai Phule Pune University, Pune , Maharashtra , India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - A new steganographic methodology
mistreatment reversible texture synthesis is planned
during this paper. A texture synthesis method re-
samples a smaller texture image that synthesizes a
replacement texture image with an identical native
look and absolute size. in conjunction with reversible
texture synthesis method, reservingareamethodology
is employed to infix extra information, that is that the
highlight of this paper. Audio steganographyisthatthe
theme of concealing the info} in style of secret
information by concealing it into another medium like
audio file. Video Steganography is to {cover} the
existence of the message from unauthorized party
mistreatment Video as cover file and concealing
information in video. during this paper a way planned
is Hash primarily based least important bit technique
for video / Audio steganography. Least important Bit
insertion methodology infix information within the
lower bits of RGB constituent of video andthischanges
are nominal.
Key Words: - Steganography, Reversible data hiding,
Texture synthesis, Reversible Data hiding.
1.INTRODUCTION
In the most up-to-date decade varied advances are
created within the vary of computerisedmedia,andfar
concernhasemergedwithrelevancysteganographyfor
computerised media. Steganography may be a solitary
system for knowledge concealing ways. It implants
messages into a number medium keeping in mind the
top goal to hide mystery messages thus as to not excite
suspicion by a unwelcome person. a standard
steganographicapplicationincorporatesclosemouthed
correspondences between 2 gatherings whose
presence is obscure to a conceivable assaulter and
whose action depends on upon characteristic the
presence of this correspondence. once all is alleged in
done, the host medium used as a region of
steganography incorporates important advanced
media, as an example, computerised image, content,
sound, video, 3D model, and then forth. myriad
steganographic calculations are researched with the
increasing ill fame and utilization of advanced photos..
Most hand ways take over AN existing image as a
canopy medium. once embeddingsecretmessagesinto
this cowl image, distortion of image could happens.
thanks to this reason 2 drawbacks occur .First, the
dimensions of the quilt image is fastened, therefore a
lot of secret messages area unit embedded allow a lot
of image distortion. thus to take care of image quality
it'll offer restricted embedding capability to any
specific cowl image. Second,that image steganalysis
approach is employed to observe hidden messages
within the stego image. This approach will defeat the
image steganography and divulges that a hidden
message is being carried in a very stego image. This
paper proposes a mixture of steganography and
texture synthesis method. the method of re-samples
alittle texture image drawnbyassociatedegreecreator
or captured in an exceedingly photograph so as to
synthesize a replacement texture image, that have the
same native look and absolute size is named texture
synthesis. This paper combines the feel synthesis
method into steganography to hide secret messages
also because the supply texture. the key messages and
therefore the supply texture will be extracted from a
stego artificial texture.
Given associate input video stream, video texture
synthesis aims to come up with associate output video
stream by conducting synthesis solely within the
temporal domain, whereas dynamic texture synthesis
aims to synthesize the input video stream in each the
spatial and temporal domains during this paper, we
tend to specialize in the video texture synthesis
drawback within the temporal domain, and gift.
activity the messages into digital sound/Video is
termed as audio/video Steganography. it's a tougher
method than embedding messages in different media.
Mistreatment audio steganography user will hide the
message in MP3/MP4. In coping with LSB
cryptographymethodologies (LSB) least importantbit
is changed to imbed information. In terms of part
encryption theme, the part of carrier file is to get
replaced with the reference part that represents
hidden information. The signals area unit divided into
regions in parity cryptography, then parity of every
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2778
region calculated and compared with secret message
bit. counting on the result encryption is completed.
1.1 Problem Statement
To Hide And Receive Secrete Information Using
Steganography In Digital Media Steganography .
2. Literature survey
J. Fridrich, M. Goljan, and R. Du projected a theme
for police work least important bit (LSB) non ordered
embedding in digital pictures. The length of secret
message springs by examine the lossless capability
within the LSB and shifted LSB plane. the tactic
analyzing lossless information embedding capability
within the LSBs. Randomizing the LSBs within the
decreasing order of lossless capability within the LSB
Plane. Thus, the lossless capability accustomedlivethe
degree of randomisation of the LSB Plane. M. F. Cohen
have accustomed implement associate degree
interactive application for texture style and synthesis.
Texture is a picturethathasneighborhoodandrandom
property. neighborhoodsuggeststhatlittleapartofthe
image is look alike and that they ne'er look precisely
the same (Stochastic). to beat the memory
consumptionissues of enormous pictures , generatesa
method for coating little pictures to fill an outsized
space. we frequently wants massive texture pictures.
So, we'd like to form massive image from little samples
.just coating the samples isn't a decent methodology.
Wang tile methodology is employed for tile the plane
with applicable samples supported matching Colours
Of Adjacent edges. Otori and Kuriyama projected the
key messages that squaremeasureto beembeddedare
often encoded within the style of dotted pattern and
that they are often painted on to a blank work table.
The remaining picture element values are oftencoated
victimisation picture element based mostly approach
therefore disguising the presence of coloured dotted
pattern. so as to extract the keymessageatthereceiver
aspect before applying data-detecting mechanism
output of the stegno texture image is taken. The
embedding capability provided by the tactic of Otori
and Kuriyama is predicated on the quantity of the
coloured dotted patterns. L. Liang, C. Liu given
associate algorithmic program for synthesizing
textures from associate input sample.Thispatch based
samplingalgorithmicprogramisincrediblyquickandit
creates high-quality texture image. This algorithmic
program works well for a good selection textures likes
regular to random textures. is sampling patches
employing a statistic estimation of the native
conditional MRF density operate .Also avoid
mismatching options across patch boundaries of a
picture. The building blocks of the patch-based
samplingalgorithmicprogramsquaremeasurepatches
of the input sample texture to construct the
synthesized texture. we will rigorously choose these
patches of the input sample texture and paste it into
the synthesized texture to avoid mismatching options
across patch boundaries. Patch-based sampling
algorithmic program combines the statistic sampling
and patch pasting strengths .The texture patches
within the sampling theme give implicit constraints to
avoid garbage found in some textures. A. A. Efros and
W. T. freewoman planned a way for generates a brand
new image by handicraft along littlepatchesofexisting
pictures. This method is thought as image quilting. it's
in no time and straightforward texture synthesis
algorithmic program. By extend this algorithmic
program to perform texture transfer Operation In
patch-based texture synthesis procedure, outline the
cube of user-specified size from the set of all such
overlapping blocks within the input texture image. To
synthesize a brand new texture image, allow us to
merely tile the blocks taken indiscriminately from the
input texture image. Next step is to introduce some
overlap within the placement of blocks onto the new
image. Now, search supplytexture forsuchablockthat
agrees some live with its neighbors on the region of
overlap .At last, let the blocks have ragged edgeswhich
is able to enable them to raised approximate the
options within the texture. Then notice a minimum
price path through that error surface and notice
boundary of the new block.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2779
In past few decades the information transmission isn't
secure attributable to attacks by trespasser or
aggressor. publically communication system
knowledge transmission isn't secure attributable to
interception and improper manipulation by listener.
thus Steganographyisthattheengaginganswerforthis
drawback, that may be a methodology of writing
hidden, messages except for the sender andreceiverin
such the way that nobody, , suspects the existence of
the message, a type of security through obscurity.
Audio steganographyis that the theme of concealment
the info} in type of secret information by concealing it
into another medium like audio file. during this paper
we have a tendency to square measure dealing
differing kinds of audio handwriting ways, its
professionals and cons. To hide data secretly in the
audio file there are few techniques introduced earlier.
The lists of methods are:
• LSB Coding
• Phase Coding
• Parity Coding
• Spread Spectrum
LSB coding:
In coping with LSBcommittaltowritingmethodologies
(LSB) least vital bit is changed to engraft knowledge. In
terms of part codingtheme the a part of carrier file is to
get replaced with the reference part that represents
hiddenknowledge.Thesignalssquaremeasuredivided
into regions in parity committal to writing, then check
bit of everyregioncalculatedandcomparedwithsecret
messagebit.countingontheresultcodingiscompleted.
Phase coding
The supplysound signal (C) is metameric to inducethe
header. The remaining half is to be jerky into smaller
segments that have lengths capable the dimensions of
the message to be encoded. A (DFT) separate Fourier
remodel is employed for every section to make a
matrix of the phases. The embedded message is
inserted within the section vector of the initial signal
section as follows:Conswiththissectionsecretwriting
area unit an occasional knowledge transmission rate
thanks to that the key message is encoded within the
1st signal section solely and to induce the key message
from the sound file, the receiver should apprehend the
section length .
Spread spectrum
The formal (SS) unfold spectrum may be a technique to
unfoldsecretmessageacrossthefrequencyspectrumof
the audio signal. The (SS) unfold Spectrum technique
expands the key message over the frequency spectrum
of the audio file. because the outcome, the ultimate
signal takes a information measure that is quite what's
trulyneeded for transmission. Anyhow, the (SS) unfold
Spectrum technique has one main con that it will
introduce noise into a audio file. In (SS) unfold
spectrum technique secret message is expand over the
audio signal's frequency spectrum the maximum
amount as potential. There ar varied steganographic
strategies have been planned in literature. Video file
hides an outsized quantity of secret information
therefore it's additional helpful. Asecured Hash Based
Mostly LSB technique for image steganography has
been implemented.
Thebasicdemandofconcealmentaknowledgeincover
file are going to be explained .The steganography is art
ofhidinginformationatintervalsthevideofileorimage
file.Steganography is a good suggeststhatofprotective
the confidentiality of the data .The technique of
knowledge concealment for top resolution video is
planned. It offer correct protection on information
throughout transmission. Hiding information
victimization the motion Vector Technique for the
moving objects is introduced in.
In this compressed video is employed for the
informationtransmissionsinceitcanholdgiantvolume
of the information.The stego machine to develop a
steganographic application to cover information
containing text ina verypc video fileandtoretrievethe
hiddeninformationisdesigned.Thiscanbedesignedby
embeddingmessagecomeinavideocomeinsuchaway
thatthevideodoesn'tlooseitspracticalityvictimization
Least important Bit modification technique. The
Steganography is employed Or secure communication.
High capability and Security Is obtained victimization
Steganography rule. A robust methodology of
indiscernible audio, video,textandimageconcealment
is proposed.
The motion vector technique is found because the
higher resolution since it hides the info in the moving
objects.The most secure and sturdy formula
is introduced. Here a safer and effective hash-based
algorithm that uses a pure hash technique for writing
and decoding the knowledge during a color image.An
improved LSB(least vital bit) primarily based
Steganography technique for images transmission
higher info security. It presents associate degree
embedding formula for concealment encrypted
messagesinnonadjacentandrandomelementlocations
in edges and sleek areas of images.
A New Compressed Video Steganographic theme in
which the info is hidden within the horizontal and also
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2780
the vertical components of the motion vectors is
proposed. There is system for knowledge concealment
uses AES for secret writing for generating secret hash
operate or key. A hash primarily based least significant
bit(LSB)techniquehasbeenplanned.Inwhichaspecial
domain technique wherever the key information is
embedded within the LSB of the duvet frames.
3.Related works:
Texture synthesis has received lots of attention
recently in laptop vision and special effects. the
foremostrecentworkhastargetedontexturesynthesis
by example, within which a supply texture image is re-
sampled victimization either pixel-based or patch-
based algorithms to provide a brand new synthesized
texture image with similar native look and whimsical
size. Pixel based algorithms generate the synthesized
image constituent by constituent and use abstraction
neighborhood comparisons to decide on the foremost
similar constituent in a very sample texture because
the output constituent. Since every output constituent
is decided by the alreadysynthesizedpixels,anywrong
synthesized pixels throughout the method influence
the remainder of the result In flictin Gprop Agation of
errors.
Patch-based algorithms paste patches from a supply
texture rather than a constituent to synthesize
textures. This approach of Cohen et al. and Xu et al.
improves the image quality of pixelbased artificial
textures as a result of texture structures within the
patches ar maintained. However, since patches ar
affixed with alittle overlapped region throughout the
artificial method, one must build an endeavor to make
sure that the patches consider their neighbors.
Liang et al. introduced the patch-based sampling
strategy and used the rotation approach for the
overlapped areas of adjacent patches.Efrosandcitizen
gift a patch sewing approach known as “image
quilting.” for each new patch to be synthesized and
sewed, the rule 1st searches the supply texture and
chooses one candidate patch that satisfies the
predefined error tolerancewithregardtoneighborson
the overlapped region. Next, a dynamic programming
technique is adopted to disclose the minimum error
path through the overlapped region. This declares AN
optimum boundary between the chosen candidate
patch and the synthesized patch, manufacturing
visually plausible patch sewing.
Steganography is that the technique of encrypting a
file, message, image, or video inside another file,
message, image, or video. The word steganography
may be a Greek words steganos, which means
"covered, concealed, or protected", and graphene
which means "writing". Steganography is that the
methodology of coveringandconcealmentmessagesin
a very medium referred to as a cipher text.
Steganography is said to cryptography. the essential
plan behind cryptographyisthatyousimplywillkeepa
message a secret by cryptography it in order that
nobody will scan it. If a decent cipher is employed, it's
possible that nobody, not even a government entity,
are going to be ready to scan it. this is often wherever
steganographycomesin.theaimofsteganographyisto
plant a message. All steganography needs may be a
cipher text, that is wherever knowledge aregoingtobe
hidden, a message that's created from knowledge,
associate formula that decides steps to cover the info,
and a key which will be wont to cypher the file. initial
the info that's being passed from one person to a
different is encrypted (not continually, however this is
often extremely suggested). Then the knowledge is
embedded into a cipher text. this is often done in line
with the embedding formula and a secret key that
performs the actions of the embedding method. This
method outputs a steganogramthathastheknowledge
hidden within.
Audio Steganography
Hiding the messages into digital sound is named as
audio Steganography. it's a tougher method than
embedding messages in alternative media.
victimization audio steganography user will hide the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2781
message in MP3 like sound files. The Human sensory
system (HAS) has the feature to urge exploited within
the method of Audio Steganography. soundperception
uses vital band analysis within the labyrinth wherever
a frequency to location transformation takes place on
the tissue layer. Received sound’s power spectra isn't
drawn on a linear frequency scale however on
restricted frequency bands referred to as vital bands.
Video Steganography is to cover the existence of the
messagefromunauthorizedpartyexploitationVideoas
cowlfileandhidingknowledgeinvideo.Steganography
means that lined writing itincludes method of
concealing data at intervals alternative file and also
conceals the actual fact that a secret message is being
sent.In this paper a method projected is Hash based
mostly least important bit technique for video
steganography.Least important Bit insertion
methodology enter knowledge within the lower bits of
RGBPel of video and this changes are going to be
bottom.Data concealing is that the process of
embedding data in a very video while not ever-
changing its sensory activity quality and conjointly
prevent from data of existence of message. A hash
operate is employed to pick the position of insertionin
LSB bits.This technique deals with 2 terms that area
unit Peak Signal to Noise magnitude relation (PSNR)
and also the Mean Square Error (MSE).Its objective is
to cut back MSE and increase PSNR.
Steganography could be a quite art and science of
activity a secret message within the opposite digital
files as here we squaremeasurevictimizationvideofile
that square measure in avi format.The video
steganography uses a some frames of Video files to
implant the secret message. This steganography hides
data in such the way that it seems like that no data is
hidden.Wheneveranyindividualreadthatvideoduring
which knowledge is hidden however they need no
concept that any data won't be decoded by unwanted
person.Steganographyoffersecuritybyobscurity.Video
Steganography technique won't only hide knowledge
however additionally hide the presence of
knowledge.The data is hidden even from receiver
however receiver will decrypt knowledge as they
understand the word that's accustomed implant
knowledge. The video filewillhidelotsofabundanceof
data as a result of it carry large number of frames and
its storage capability is additionally a lot of. Video files
square measure larger than audio and image files, and
hide more data. The video steganography involve 2
steps.The first step deals with embedding secret
message in the video files. The second step is that the
extractionofsecretmessagefromvideofiles.Thisvideo
steganography have more activity capability (the
quantity of data which will be embedded) that is
usually a vital issue once developing a steganographic
algorithmic program.
The second main advantage of activity knowledge into
video file is that the additional security against the
attack of the third party or causeless receiver owing to
relative qualityofthestructureofvideoascomparedto
image and audio.In video steganography technique
least vital bit is straightforward technique to hide
knowledge in video cowl file.In this technique from
video particular frames elect during which text can
embedded or hidded therein frames by victimization
little bit of every of the Red, Green and Blue color
elements is used.This technique was to the brings
simplicity in LSB insertion technique and additionally
reduces the attacks from third party.The hash based
mostly LSB technique is completely different from LSB
technique on basis of hash function because it takes
eight bits of secret knowledge at a time and conceal
them in least vital little bit of RGB constituent.The
chromatic influence of the blue color is a lot of to the
human eye than the red and inexperienced color
thence three,3,2 order of distribution takesp lace.So
random distribution of the bits takes place over
there.After activity data in multiple frames of a video
file,these frames square measure combined along to
form a stego video and this video appear as if a
standard video. licensed receiver perform the reverse
method to decrypt the hiddenmessage or data.Stego
video are going to be broken into frames and so
victimization the same word is applied to retrieve the
information. In this paper video steganography
victimization hash based mostly LSB insertion
technique is developed in MATLAB.
4.Proposed System:
In presentsystem,theusersendsdatafromonesystem
to the desired system in Local Area Network. 2.
Because of the security issues not only authorized
persons but also unauthorized persons can view the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2782
data. Here we will discuss the cons of the previous
techniques and in what way they are different with
presentmethod. There are mainly two cons associated
of methods like parity coding. The human ear is very
delicate and may detect the small noise which is
introduced in an audio file, though the parity coding
method is somewhat closer to make the introduced
noise inaudible. Another con is robustness. One issue
which is associated with phase coding is a low data t
ransmission rate because of the fact that the hidden
message is encodedinthefirstsegmentofsignal.Phase
coding method is often used when small amount of
data needs to be transmitted.Leastsignificantbit(LSB)
coding is the simplest technique to hide the data in an
audio file. By substituting the LSB of each sampling
point with a binary message, LSB coding ensures for a
large amount of data to be encoded and to be
transmitted.This system will do the analysis and
encrypt the secret message in cover media with the
help of efficient algorithm. System we will be using
input and output buffer for encrypting and decrypting
our information. This system will provide a good and a
efficientmethodforembeddingthedatafromattackers
and sent safely toitsdestination.Thisproposedsystem
will not make the change in the size of the file after
encoding of data in an audio file. Encryption and
Decryption techniques are used to make the security
in data transmission.
Audio steganography algorithm
Step 1 -Receives the audio file convert it into bit
pattern
Step 2 -Each characterinthemessageisconvertedinto
bit pattern.
Step 3 - Check which LSBto Replace ByRC4technique
Step 4 - Replaces the LSB bit from audio with LSB bit
from character in the message.
A. Earlier numerous sorts of steganography
techniques ar introduced for the video.Here wehavea
tendency to projected the Hash primarily based Least
important Bit Technique for Video Steganography
which perform insertion of bits of document in video
within the least important bit position of RGB picture
element as per hash function.In this means it includes
secret writing and coding process for activity message
and extracting message respectively.In this technique
steganographictoolisdevelopedinMATLABcomputer
code that perform secret writing and coding.First ofall
text are embedded among the video by victimization
the steganographic tool.This stego video file is again
applied to steganographic tool to decrypt embedded
data.There is use of following rule for information
activity. For video, a mix of sound and image
techniques will be used. this is often as a result of the
very fact that video usually has separate inner files for
the video (consisting of the many images) and
therefore the sound. So techniques will be applied in
each areas to cover information. as a result of the scale
of video files, the scope for adding uncountable
information is way larger and so the probabilities of
hidden information being detected is kind of low.
Algorithm for Encoding
Step1: scan the input video wherever
Steganography is processed during this video.
Step 2: Extract the image from the input video.
Step 3: Get input from the user during which
frame user wishes to perform stegnography.
That input price considers as a public key.
Step 4: realize the smallest amount vital little bit of
the every component.
Step 5: scan the key image.
Step 6: Replace the LSB price and substitute the key
image component.
Step 7: Repeat the Step six till the last
component within the secret image to
be hidden.
Step 8: Regenerate all the photographs into
making Stego video.
Algorithm for Decoding
Step 1: browse the stego video.
Step 2:authentication victimization public
key of the receiver and apprehend
the worth is named the stego frame.
Step 3: Calculate LSB of every pixels of stego-
image.
Step 4: Retrieve bits and convert every eight
bits into a personality.
Step 5: Get the initial video.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2783
5. CONCLUSIONS
One of the potential future works is to expand our
planned theme rework work domain by mistreatment
remodel domain ways. each technique is also
implemented merely, butifsomeonetriestogolooking
out out the tricks once knowing that someone
victimization the stego-video file, then there area unit
sensibleprobabilities of searching for the hidden data.
thus on avoid this, the some hybrid system is used, in
such the best method that even though someone finds
out the one technique, it's used entirely on few frames
and different frames contains utterly totally different
fairly steganographyandthencetotal. secretemessage
is not delivered. SteganoSense tool is also extended to
make it work on Videofileformatanddifferentformats
like 3GP, AVI etc. At present, Wave audio files that area
unit of PCM audio format works with SteganoSense
tool. different audio formats want some form of
compression. this can be solved infuturework.instead
of LSB, unfold Spectrum technique or section secret
writing technique is also used to insert secret message
bits. This application could bereborn to Mobile
Application
REFERENCES
[1] W. Kuo-Chen andW. Chung-Ming, “Steganography
UsingReversibleTextureSynthesis,”IEEETransactions
on Image Processing, pp. 1-10, 2014.
[2] P.R.Vignesh Kumar, “Reversible Data Hiding Using
Texture Synthesis Approach”2016 International
Conference on Circuit, Power and Computing
Technologies [ICCPCT]
[3] Shivani Khosla, Paramjeet Kaur, “Secure Data
Hiding Technique Using Video Steganography and
Watermarking” International Journal of Computer
Applications (0975 – 8887) Volume 95– No.20, June
2014
[4] Y. Guo, G. Zhao, Z. Zhou, and M. Pietikäinen, “Video
texture synthesis with multi-frame LBP-TOP and
diffeomorphic growth model,” IEEE Trans. Image
Process., vol. 22, no. 10, pp. 3879-3891, 2013.
[5] S.-C. Liu and W.-H. Tsai, “Line-based cubism-like
image—A new type of art image and its application to
lossless
D
[6] Rachna Patel, Mukesh Patel,“Steganography over
Video File by Hiding ata hiding,” IEEE Trans. Inf.
Forensics Security, vol. 7, no. 5, pp. 1448–1458, Oct.
2012. Video in another Video File,RandomByteHiding
and LSB Technique” 2014 IEEE International
Conference on Computational Intelligence and
Computing Research
[7] Masoud Nosrati RonakKarimiMehdiHariri(2012)
“Audio Steganography: A Survey on Recent
Approaches” World Applied Programming, Vol (2), No
(3)
[8] A. Efros and W. Freeman, “Image quilting for
texture synthesis and transfer,”in Proc. ACM
SIGGRAPH, 2001, pp. 341–346.
[9] Li Zhi, Sui Ai Fen,“Detection of Random LSB Image
Steganography”IEEE pp2113-2117,2004
[10] M. VarmaandA.Zisserman,“Astatisticalapproach
tomaterialclassificationusingimagepatchexamplars,”
IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11,
pp. 2032– 2047, Nov. 2009

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Digital Media Steganography

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2777 Digital Media Steganography Siddhant Gaikhe1, Arjun Jadhav2, Ganesh Mortale3, Vikram Bhande4 Department of Computer Engineering, Savitribai Phule Pune University, Pune , Maharashtra , India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - A new steganographic methodology mistreatment reversible texture synthesis is planned during this paper. A texture synthesis method re- samples a smaller texture image that synthesizes a replacement texture image with an identical native look and absolute size. in conjunction with reversible texture synthesis method, reservingareamethodology is employed to infix extra information, that is that the highlight of this paper. Audio steganographyisthatthe theme of concealing the info} in style of secret information by concealing it into another medium like audio file. Video Steganography is to {cover} the existence of the message from unauthorized party mistreatment Video as cover file and concealing information in video. during this paper a way planned is Hash primarily based least important bit technique for video / Audio steganography. Least important Bit insertion methodology infix information within the lower bits of RGB constituent of video andthischanges are nominal. Key Words: - Steganography, Reversible data hiding, Texture synthesis, Reversible Data hiding. 1.INTRODUCTION In the most up-to-date decade varied advances are created within the vary of computerisedmedia,andfar concernhasemergedwithrelevancysteganographyfor computerised media. Steganography may be a solitary system for knowledge concealing ways. It implants messages into a number medium keeping in mind the top goal to hide mystery messages thus as to not excite suspicion by a unwelcome person. a standard steganographicapplicationincorporatesclosemouthed correspondences between 2 gatherings whose presence is obscure to a conceivable assaulter and whose action depends on upon characteristic the presence of this correspondence. once all is alleged in done, the host medium used as a region of steganography incorporates important advanced media, as an example, computerised image, content, sound, video, 3D model, and then forth. myriad steganographic calculations are researched with the increasing ill fame and utilization of advanced photos.. Most hand ways take over AN existing image as a canopy medium. once embeddingsecretmessagesinto this cowl image, distortion of image could happens. thanks to this reason 2 drawbacks occur .First, the dimensions of the quilt image is fastened, therefore a lot of secret messages area unit embedded allow a lot of image distortion. thus to take care of image quality it'll offer restricted embedding capability to any specific cowl image. Second,that image steganalysis approach is employed to observe hidden messages within the stego image. This approach will defeat the image steganography and divulges that a hidden message is being carried in a very stego image. This paper proposes a mixture of steganography and texture synthesis method. the method of re-samples alittle texture image drawnbyassociatedegreecreator or captured in an exceedingly photograph so as to synthesize a replacement texture image, that have the same native look and absolute size is named texture synthesis. This paper combines the feel synthesis method into steganography to hide secret messages also because the supply texture. the key messages and therefore the supply texture will be extracted from a stego artificial texture. Given associate input video stream, video texture synthesis aims to come up with associate output video stream by conducting synthesis solely within the temporal domain, whereas dynamic texture synthesis aims to synthesize the input video stream in each the spatial and temporal domains during this paper, we tend to specialize in the video texture synthesis drawback within the temporal domain, and gift. activity the messages into digital sound/Video is termed as audio/video Steganography. it's a tougher method than embedding messages in different media. Mistreatment audio steganography user will hide the message in MP3/MP4. In coping with LSB cryptographymethodologies (LSB) least importantbit is changed to imbed information. In terms of part encryption theme, the part of carrier file is to get replaced with the reference part that represents hidden information. The signals area unit divided into regions in parity cryptography, then parity of every
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2778 region calculated and compared with secret message bit. counting on the result encryption is completed. 1.1 Problem Statement To Hide And Receive Secrete Information Using Steganography In Digital Media Steganography . 2. Literature survey J. Fridrich, M. Goljan, and R. Du projected a theme for police work least important bit (LSB) non ordered embedding in digital pictures. The length of secret message springs by examine the lossless capability within the LSB and shifted LSB plane. the tactic analyzing lossless information embedding capability within the LSBs. Randomizing the LSBs within the decreasing order of lossless capability within the LSB Plane. Thus, the lossless capability accustomedlivethe degree of randomisation of the LSB Plane. M. F. Cohen have accustomed implement associate degree interactive application for texture style and synthesis. Texture is a picturethathasneighborhoodandrandom property. neighborhoodsuggeststhatlittleapartofthe image is look alike and that they ne'er look precisely the same (Stochastic). to beat the memory consumptionissues of enormous pictures , generatesa method for coating little pictures to fill an outsized space. we frequently wants massive texture pictures. So, we'd like to form massive image from little samples .just coating the samples isn't a decent methodology. Wang tile methodology is employed for tile the plane with applicable samples supported matching Colours Of Adjacent edges. Otori and Kuriyama projected the key messages that squaremeasureto beembeddedare often encoded within the style of dotted pattern and that they are often painted on to a blank work table. The remaining picture element values are oftencoated victimisation picture element based mostly approach therefore disguising the presence of coloured dotted pattern. so as to extract the keymessageatthereceiver aspect before applying data-detecting mechanism output of the stegno texture image is taken. The embedding capability provided by the tactic of Otori and Kuriyama is predicated on the quantity of the coloured dotted patterns. L. Liang, C. Liu given associate algorithmic program for synthesizing textures from associate input sample.Thispatch based samplingalgorithmicprogramisincrediblyquickandit creates high-quality texture image. This algorithmic program works well for a good selection textures likes regular to random textures. is sampling patches employing a statistic estimation of the native conditional MRF density operate .Also avoid mismatching options across patch boundaries of a picture. The building blocks of the patch-based samplingalgorithmicprogramsquaremeasurepatches of the input sample texture to construct the synthesized texture. we will rigorously choose these patches of the input sample texture and paste it into the synthesized texture to avoid mismatching options across patch boundaries. Patch-based sampling algorithmic program combines the statistic sampling and patch pasting strengths .The texture patches within the sampling theme give implicit constraints to avoid garbage found in some textures. A. A. Efros and W. T. freewoman planned a way for generates a brand new image by handicraft along littlepatchesofexisting pictures. This method is thought as image quilting. it's in no time and straightforward texture synthesis algorithmic program. By extend this algorithmic program to perform texture transfer Operation In patch-based texture synthesis procedure, outline the cube of user-specified size from the set of all such overlapping blocks within the input texture image. To synthesize a brand new texture image, allow us to merely tile the blocks taken indiscriminately from the input texture image. Next step is to introduce some overlap within the placement of blocks onto the new image. Now, search supplytexture forsuchablockthat agrees some live with its neighbors on the region of overlap .At last, let the blocks have ragged edgeswhich is able to enable them to raised approximate the options within the texture. Then notice a minimum price path through that error surface and notice boundary of the new block.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2779 In past few decades the information transmission isn't secure attributable to attacks by trespasser or aggressor. publically communication system knowledge transmission isn't secure attributable to interception and improper manipulation by listener. thus Steganographyisthattheengaginganswerforthis drawback, that may be a methodology of writing hidden, messages except for the sender andreceiverin such the way that nobody, , suspects the existence of the message, a type of security through obscurity. Audio steganographyis that the theme of concealment the info} in type of secret information by concealing it into another medium like audio file. during this paper we have a tendency to square measure dealing differing kinds of audio handwriting ways, its professionals and cons. To hide data secretly in the audio file there are few techniques introduced earlier. The lists of methods are: • LSB Coding • Phase Coding • Parity Coding • Spread Spectrum LSB coding: In coping with LSBcommittaltowritingmethodologies (LSB) least vital bit is changed to engraft knowledge. In terms of part codingtheme the a part of carrier file is to get replaced with the reference part that represents hiddenknowledge.Thesignalssquaremeasuredivided into regions in parity committal to writing, then check bit of everyregioncalculatedandcomparedwithsecret messagebit.countingontheresultcodingiscompleted. Phase coding The supplysound signal (C) is metameric to inducethe header. The remaining half is to be jerky into smaller segments that have lengths capable the dimensions of the message to be encoded. A (DFT) separate Fourier remodel is employed for every section to make a matrix of the phases. The embedded message is inserted within the section vector of the initial signal section as follows:Conswiththissectionsecretwriting area unit an occasional knowledge transmission rate thanks to that the key message is encoded within the 1st signal section solely and to induce the key message from the sound file, the receiver should apprehend the section length . Spread spectrum The formal (SS) unfold spectrum may be a technique to unfoldsecretmessageacrossthefrequencyspectrumof the audio signal. The (SS) unfold Spectrum technique expands the key message over the frequency spectrum of the audio file. because the outcome, the ultimate signal takes a information measure that is quite what's trulyneeded for transmission. Anyhow, the (SS) unfold Spectrum technique has one main con that it will introduce noise into a audio file. In (SS) unfold spectrum technique secret message is expand over the audio signal's frequency spectrum the maximum amount as potential. There ar varied steganographic strategies have been planned in literature. Video file hides an outsized quantity of secret information therefore it's additional helpful. Asecured Hash Based Mostly LSB technique for image steganography has been implemented. Thebasicdemandofconcealmentaknowledgeincover file are going to be explained .The steganography is art ofhidinginformationatintervalsthevideofileorimage file.Steganography is a good suggeststhatofprotective the confidentiality of the data .The technique of knowledge concealment for top resolution video is planned. It offer correct protection on information throughout transmission. Hiding information victimization the motion Vector Technique for the moving objects is introduced in. In this compressed video is employed for the informationtransmissionsinceitcanholdgiantvolume of the information.The stego machine to develop a steganographic application to cover information containing text ina verypc video fileandtoretrievethe hiddeninformationisdesigned.Thiscanbedesignedby embeddingmessagecomeinavideocomeinsuchaway thatthevideodoesn'tlooseitspracticalityvictimization Least important Bit modification technique. The Steganography is employed Or secure communication. High capability and Security Is obtained victimization Steganography rule. A robust methodology of indiscernible audio, video,textandimageconcealment is proposed. The motion vector technique is found because the higher resolution since it hides the info in the moving objects.The most secure and sturdy formula is introduced. Here a safer and effective hash-based algorithm that uses a pure hash technique for writing and decoding the knowledge during a color image.An improved LSB(least vital bit) primarily based Steganography technique for images transmission higher info security. It presents associate degree embedding formula for concealment encrypted messagesinnonadjacentandrandomelementlocations in edges and sleek areas of images. A New Compressed Video Steganographic theme in which the info is hidden within the horizontal and also
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2780 the vertical components of the motion vectors is proposed. There is system for knowledge concealment uses AES for secret writing for generating secret hash operate or key. A hash primarily based least significant bit(LSB)techniquehasbeenplanned.Inwhichaspecial domain technique wherever the key information is embedded within the LSB of the duvet frames. 3.Related works: Texture synthesis has received lots of attention recently in laptop vision and special effects. the foremostrecentworkhastargetedontexturesynthesis by example, within which a supply texture image is re- sampled victimization either pixel-based or patch- based algorithms to provide a brand new synthesized texture image with similar native look and whimsical size. Pixel based algorithms generate the synthesized image constituent by constituent and use abstraction neighborhood comparisons to decide on the foremost similar constituent in a very sample texture because the output constituent. Since every output constituent is decided by the alreadysynthesizedpixels,anywrong synthesized pixels throughout the method influence the remainder of the result In flictin Gprop Agation of errors. Patch-based algorithms paste patches from a supply texture rather than a constituent to synthesize textures. This approach of Cohen et al. and Xu et al. improves the image quality of pixelbased artificial textures as a result of texture structures within the patches ar maintained. However, since patches ar affixed with alittle overlapped region throughout the artificial method, one must build an endeavor to make sure that the patches consider their neighbors. Liang et al. introduced the patch-based sampling strategy and used the rotation approach for the overlapped areas of adjacent patches.Efrosandcitizen gift a patch sewing approach known as “image quilting.” for each new patch to be synthesized and sewed, the rule 1st searches the supply texture and chooses one candidate patch that satisfies the predefined error tolerancewithregardtoneighborson the overlapped region. Next, a dynamic programming technique is adopted to disclose the minimum error path through the overlapped region. This declares AN optimum boundary between the chosen candidate patch and the synthesized patch, manufacturing visually plausible patch sewing. Steganography is that the technique of encrypting a file, message, image, or video inside another file, message, image, or video. The word steganography may be a Greek words steganos, which means "covered, concealed, or protected", and graphene which means "writing". Steganography is that the methodology of coveringandconcealmentmessagesin a very medium referred to as a cipher text. Steganography is said to cryptography. the essential plan behind cryptographyisthatyousimplywillkeepa message a secret by cryptography it in order that nobody will scan it. If a decent cipher is employed, it's possible that nobody, not even a government entity, are going to be ready to scan it. this is often wherever steganographycomesin.theaimofsteganographyisto plant a message. All steganography needs may be a cipher text, that is wherever knowledge aregoingtobe hidden, a message that's created from knowledge, associate formula that decides steps to cover the info, and a key which will be wont to cypher the file. initial the info that's being passed from one person to a different is encrypted (not continually, however this is often extremely suggested). Then the knowledge is embedded into a cipher text. this is often done in line with the embedding formula and a secret key that performs the actions of the embedding method. This method outputs a steganogramthathastheknowledge hidden within. Audio Steganography Hiding the messages into digital sound is named as audio Steganography. it's a tougher method than embedding messages in alternative media. victimization audio steganography user will hide the
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2781 message in MP3 like sound files. The Human sensory system (HAS) has the feature to urge exploited within the method of Audio Steganography. soundperception uses vital band analysis within the labyrinth wherever a frequency to location transformation takes place on the tissue layer. Received sound’s power spectra isn't drawn on a linear frequency scale however on restricted frequency bands referred to as vital bands. Video Steganography is to cover the existence of the messagefromunauthorizedpartyexploitationVideoas cowlfileandhidingknowledgeinvideo.Steganography means that lined writing itincludes method of concealing data at intervals alternative file and also conceals the actual fact that a secret message is being sent.In this paper a method projected is Hash based mostly least important bit technique for video steganography.Least important Bit insertion methodology enter knowledge within the lower bits of RGBPel of video and this changes are going to be bottom.Data concealing is that the process of embedding data in a very video while not ever- changing its sensory activity quality and conjointly prevent from data of existence of message. A hash operate is employed to pick the position of insertionin LSB bits.This technique deals with 2 terms that area unit Peak Signal to Noise magnitude relation (PSNR) and also the Mean Square Error (MSE).Its objective is to cut back MSE and increase PSNR. Steganography could be a quite art and science of activity a secret message within the opposite digital files as here we squaremeasurevictimizationvideofile that square measure in avi format.The video steganography uses a some frames of Video files to implant the secret message. This steganography hides data in such the way that it seems like that no data is hidden.Wheneveranyindividualreadthatvideoduring which knowledge is hidden however they need no concept that any data won't be decoded by unwanted person.Steganographyoffersecuritybyobscurity.Video Steganography technique won't only hide knowledge however additionally hide the presence of knowledge.The data is hidden even from receiver however receiver will decrypt knowledge as they understand the word that's accustomed implant knowledge. The video filewillhidelotsofabundanceof data as a result of it carry large number of frames and its storage capability is additionally a lot of. Video files square measure larger than audio and image files, and hide more data. The video steganography involve 2 steps.The first step deals with embedding secret message in the video files. The second step is that the extractionofsecretmessagefromvideofiles.Thisvideo steganography have more activity capability (the quantity of data which will be embedded) that is usually a vital issue once developing a steganographic algorithmic program. The second main advantage of activity knowledge into video file is that the additional security against the attack of the third party or causeless receiver owing to relative qualityofthestructureofvideoascomparedto image and audio.In video steganography technique least vital bit is straightforward technique to hide knowledge in video cowl file.In this technique from video particular frames elect during which text can embedded or hidded therein frames by victimization little bit of every of the Red, Green and Blue color elements is used.This technique was to the brings simplicity in LSB insertion technique and additionally reduces the attacks from third party.The hash based mostly LSB technique is completely different from LSB technique on basis of hash function because it takes eight bits of secret knowledge at a time and conceal them in least vital little bit of RGB constituent.The chromatic influence of the blue color is a lot of to the human eye than the red and inexperienced color thence three,3,2 order of distribution takesp lace.So random distribution of the bits takes place over there.After activity data in multiple frames of a video file,these frames square measure combined along to form a stego video and this video appear as if a standard video. licensed receiver perform the reverse method to decrypt the hiddenmessage or data.Stego video are going to be broken into frames and so victimization the same word is applied to retrieve the information. In this paper video steganography victimization hash based mostly LSB insertion technique is developed in MATLAB. 4.Proposed System: In presentsystem,theusersendsdatafromonesystem to the desired system in Local Area Network. 2. Because of the security issues not only authorized persons but also unauthorized persons can view the
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2782 data. Here we will discuss the cons of the previous techniques and in what way they are different with presentmethod. There are mainly two cons associated of methods like parity coding. The human ear is very delicate and may detect the small noise which is introduced in an audio file, though the parity coding method is somewhat closer to make the introduced noise inaudible. Another con is robustness. One issue which is associated with phase coding is a low data t ransmission rate because of the fact that the hidden message is encodedinthefirstsegmentofsignal.Phase coding method is often used when small amount of data needs to be transmitted.Leastsignificantbit(LSB) coding is the simplest technique to hide the data in an audio file. By substituting the LSB of each sampling point with a binary message, LSB coding ensures for a large amount of data to be encoded and to be transmitted.This system will do the analysis and encrypt the secret message in cover media with the help of efficient algorithm. System we will be using input and output buffer for encrypting and decrypting our information. This system will provide a good and a efficientmethodforembeddingthedatafromattackers and sent safely toitsdestination.Thisproposedsystem will not make the change in the size of the file after encoding of data in an audio file. Encryption and Decryption techniques are used to make the security in data transmission. Audio steganography algorithm Step 1 -Receives the audio file convert it into bit pattern Step 2 -Each characterinthemessageisconvertedinto bit pattern. Step 3 - Check which LSBto Replace ByRC4technique Step 4 - Replaces the LSB bit from audio with LSB bit from character in the message. A. Earlier numerous sorts of steganography techniques ar introduced for the video.Here wehavea tendency to projected the Hash primarily based Least important Bit Technique for Video Steganography which perform insertion of bits of document in video within the least important bit position of RGB picture element as per hash function.In this means it includes secret writing and coding process for activity message and extracting message respectively.In this technique steganographictoolisdevelopedinMATLABcomputer code that perform secret writing and coding.First ofall text are embedded among the video by victimization the steganographic tool.This stego video file is again applied to steganographic tool to decrypt embedded data.There is use of following rule for information activity. For video, a mix of sound and image techniques will be used. this is often as a result of the very fact that video usually has separate inner files for the video (consisting of the many images) and therefore the sound. So techniques will be applied in each areas to cover information. as a result of the scale of video files, the scope for adding uncountable information is way larger and so the probabilities of hidden information being detected is kind of low. Algorithm for Encoding Step1: scan the input video wherever Steganography is processed during this video. Step 2: Extract the image from the input video. Step 3: Get input from the user during which frame user wishes to perform stegnography. That input price considers as a public key. Step 4: realize the smallest amount vital little bit of the every component. Step 5: scan the key image. Step 6: Replace the LSB price and substitute the key image component. Step 7: Repeat the Step six till the last component within the secret image to be hidden. Step 8: Regenerate all the photographs into making Stego video. Algorithm for Decoding Step 1: browse the stego video. Step 2:authentication victimization public key of the receiver and apprehend the worth is named the stego frame. Step 3: Calculate LSB of every pixels of stego- image. Step 4: Retrieve bits and convert every eight bits into a personality. Step 5: Get the initial video.
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2783 5. CONCLUSIONS One of the potential future works is to expand our planned theme rework work domain by mistreatment remodel domain ways. each technique is also implemented merely, butifsomeonetriestogolooking out out the tricks once knowing that someone victimization the stego-video file, then there area unit sensibleprobabilities of searching for the hidden data. thus on avoid this, the some hybrid system is used, in such the best method that even though someone finds out the one technique, it's used entirely on few frames and different frames contains utterly totally different fairly steganographyandthencetotal. secretemessage is not delivered. SteganoSense tool is also extended to make it work on Videofileformatanddifferentformats like 3GP, AVI etc. At present, Wave audio files that area unit of PCM audio format works with SteganoSense tool. different audio formats want some form of compression. this can be solved infuturework.instead of LSB, unfold Spectrum technique or section secret writing technique is also used to insert secret message bits. This application could bereborn to Mobile Application REFERENCES [1] W. Kuo-Chen andW. Chung-Ming, “Steganography UsingReversibleTextureSynthesis,”IEEETransactions on Image Processing, pp. 1-10, 2014. [2] P.R.Vignesh Kumar, “Reversible Data Hiding Using Texture Synthesis Approach”2016 International Conference on Circuit, Power and Computing Technologies [ICCPCT] [3] Shivani Khosla, Paramjeet Kaur, “Secure Data Hiding Technique Using Video Steganography and Watermarking” International Journal of Computer Applications (0975 – 8887) Volume 95– No.20, June 2014 [4] Y. Guo, G. Zhao, Z. Zhou, and M. Pietikäinen, “Video texture synthesis with multi-frame LBP-TOP and diffeomorphic growth model,” IEEE Trans. Image Process., vol. 22, no. 10, pp. 3879-3891, 2013. [5] S.-C. Liu and W.-H. Tsai, “Line-based cubism-like image—A new type of art image and its application to lossless D [6] Rachna Patel, Mukesh Patel,“Steganography over Video File by Hiding ata hiding,” IEEE Trans. Inf. Forensics Security, vol. 7, no. 5, pp. 1448–1458, Oct. 2012. Video in another Video File,RandomByteHiding and LSB Technique” 2014 IEEE International Conference on Computational Intelligence and Computing Research [7] Masoud Nosrati RonakKarimiMehdiHariri(2012) “Audio Steganography: A Survey on Recent Approaches” World Applied Programming, Vol (2), No (3) [8] A. Efros and W. Freeman, “Image quilting for texture synthesis and transfer,”in Proc. ACM SIGGRAPH, 2001, pp. 341–346. [9] Li Zhi, Sui Ai Fen,“Detection of Random LSB Image Steganography”IEEE pp2113-2117,2004 [10] M. VarmaandA.Zisserman,“Astatisticalapproach tomaterialclassificationusingimagepatchexamplars,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 2032– 2047, Nov. 2009