EMPIRICAL STUDY OF ALGORITHMS AND TECHNIQUES IN VIDEO STEGANOGRAPHY

Journal for Research| Volume 01| Issue 12 | February 2016
ISSN: 2395-7549
All rights reserved by www.journalforresearch.org 62
Empirical Study of Algorithms and Techniques of
Video Steganography
Dr. Namarata Agrawal Ms. Parveen Mor
Professor Assistant Professor
NIFM, An Institute of Ministry of Finance, GoI, India Lingayas GVKS Institute of Management & Technology,
Chitkara University, Punjab Faridabad, India
Abstract
Steganography is the art and science of hiding the actual important information under graphics, text, cover file etc. These
techniques may be applied without fear of image destruction because they are more integrated into the image. Information can be
in the form of text, audio, video. The purpose of steganography is to covert communication and to hide a message from a third
party or intruder. Steganography is often confused with cryptography because the two are similar in the way that both are used to
protect confidential information. Though there are many types of steganography, video Steganography is more reliable due to
high capacity image, more data embedment, perceptual redundancy etc. This research paper deals with various Video
Steganography techniques and algorithms including Spatial Domain, Pseudorandom permutations, TPVD (Tri-way pixel value
differencing), Motion Vector Technique, Video Compression, and Motion Vector Technique. The Video compression which
uses modern coding techniques to reduce redundancy in video data has been also studied and analyzed. In fact, Video
compression operates on square-shaped groups or blocks of neighboring pixels, often called macro blocks. These pixel groups or
blocks of pixels are compared from one frame to the next and the video compression code sends only the differences within
those blocks. Generally, the motion field in video compression is assumed to be translational with horizontal component and
vertical component and denoted in vector form for the spatial variables in the underlying image, such as three steps search, etc.
The study also discusses and focusses on the evolution of the Video Steganography techniques and algorithms over the years
based on its application and subsequent merits and demerits. Further, Advanced Video Steganography Algorithm/Bit Exchange
Method based on the bit shifting and XOR operation in the secret message file has been studied and implemented. The encrypted
secret message is embed in the cover file in alternate byte. The bits are substituted in LSB & LSB+3 bits in the cover file.
Finally, the simulation and evaluation of the above mentioned approach is performed using MATLAB tools.
Keywords: Video, Ex-OR, LSB, TPVD, Steganography
_______________________________________________________________________________________________________
I. INTRODUCTION
Information Security
Information security means securing the information and information systems from unauthorized access, usage, disclosure,
alteration and inspection.
These fields are interrelated and share the common goals of protecting the privacy, integrity and availability of information;
however, there are some subtle differences between them [12].
There are two different ways for securing the data are:
- Cryptography
- Steganography
Fig. 1: Steganography taxonomy

Empirical Study of Algorithms and Techniques of Video Steganography
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Cryptography
In cryptography, the plain text is changed in cipher text and the cipher text is sent over the network. It is the alteration of data
into a sequence of bits that shown as random and meaning-less to an attacker.
Steganography
This word comes from the Greek word steganos (covered or secret) and graph (writing or drawing). It may be defined as the
hiding of information by embedding messages within other, apparently harmless messages, graphics or sounds [4].
Steganography and cryptography can be differentiated in such a way that in Steganography, the attacker or the evader would not
be able to access the content of data whereas in cryptography, the attacker would not be able to detect the secret message present
in the Steganographic medium.
Types of Steganography
a) Text Steganography:
An encoded message just screams you're using encryption, which may attract unwanted attention to your activities even if
snoopers cannot read the text of your messages. Its attempt to conceal the presence of an encrypted message; over history a wide
variety of techniques have been used: secret compartments in objects, invisible ink, microdots, and grilles used to hide letters of
a message among innocent text, and in the digital age, embedding messages as imperceptible noise in images and audio files [5].
b) Image Steganography:
The main purpose of steganography is to hide a secret message in a carrier and the carrier used to hide the data is any image file
that is said to be image steganography [6].
c) Audio Steganography:
Totally, it focused on hiding secret information in an innocent cover audio file, signal securely and robustly [7].
d) Video Steganography:
It is an electronic medium for the recording, copying, playback, broadcasting, and display of moving visual media.
It is a method to hide any kind of files in any extension. The great advantages of video are the large amount of data that can be
hidden inside and the fact that it is a moving stream of images and sounds.
It can be divided into two main classes. First one is embedding data in uncompressed raw video, which is compressed later.
Other one is try to embed data directly in compressed video stream. [3].
e) ADVANTAGES OF VIDEO STEGANOGRAPHY:
- A video has higher capability then other image.
- More data can be embed in the video.
- Perceptual Redundancy formed in videos is due to their temporal features.
- Steganography video provides confidential communication and secret data storing.
- Protection of data alteration.
- Access control system for digital content distribution Media Database systems.
f) VIDEO STEGANOGRAPHY TECHNIQUES:
(1) Spatial Domain:
In this technology, embedding is done by using Integer Wavelet Coefficients. Generally wavelet domain allows hiding data in
regions that the Human Visual System (HVS) is less sensitive to the hiding resolution detail band (HL, LH, HH). Hiding data in
these regions allows us to increase the robustness while maintaining good visual quality [11].
(2) Pseudorandom permutations:
If all cover bits can be accessed in the embedding process, the secret message bits can be distributed randomly over the whole
cover. This technique further produces the complexity for an attacker, since it is not guaranteed that subsequent message bits are
embedded in the same order [13].
(3) TPVD (Tri-way pixel value differencing)
Actually, it is the same technique as the original PVD method for data embedding. However, the embedding capacity of images
is increased 1.7 times by using the diagonal and vertical edges in image for data embedding in addition to horizontal edges. As it
was declared earlier, original PVD method only embeds data in horizontal pixel blocks only [15].

(J4R/ Volume 01 / Issue 12 / 012)
Fig. 2: Video Steganography techniques
This method is a modified form of PVD (pixel value differencing), which tends to increase embedding capacity and security
of its successor by hiding secret bits in both vertical and diagonal edges of a cover image[8].Generally, the edges in an image are
roughly classified into vertical, horizontal, and two kinds of diagonal directions. PVD method use only two-pixel pairs on one
directional edge which can work efficiently for information hiding.
However, since the changing of pixel values for the fourth pixel pair affects the first and the
second pair, the fourth pair is useless and has to be discarded. Therefore, we propose that three
pairs are used to embed the secret data. Before introducing the proposed algorithm, the
Pre-procedure is to partition the cover image into non overlapping 2×2 blocks with 4 pixels. In this scheme, each 2×2 block
includes four pixels of p(a, b), p(a+1, b), p(a, b+ 1), and p(a+1, b+1) where x and y are the pixel location in the image. Let p(a, b)
be the starting point, then three pixel pairs can be found by grouping p(a, b) with the right, the lower, and the lower right
neighboring pixels. Those three pairs are named by P0, P1 and P2 where P0= (p(a, b), p(a+1, b)), P1= (p(a, b),p(a, b+1)) and P2 = (
p(a, b), p(a+1, b+1)) respectively. When using the tri-way PVD method to embed the secret data, each pair has its modified P′i
and a new difference value d′i for i = 0, 1, 2. Now, the new pixel values in each pair are different from their original ones. That
is, we have three different values for the starting point p(a, b) named p′0(a, b), p′1(a, b) and p′2(a, b) from P0, P1, and P2
respectively. However, only one value for p′I (a, b) can exist after finishing the embedding procedures. Therefore, one of p′I (a, b)
is selected as the reference point to offset the other two pixel values. That is, two pixel values of one pair are used to adjust the
other two pairs and construct a new 2×2 block. Selecting different reference points results in varied distortion to the stego-image.
Here, we propose an optimal selection approach to achieve minimum Mean-Square-Error (MSE). Suppose that mi=d′i−di, di and
d′i are the difference values of pixel pair i before and after embedding procedures. The rules that can exactly determine one
optimal reference pair without really estimating MSE are introduced as follows.
1) If all values of mi are great than 1 or smaller than −1, the optimal pixel pair ioptimal is the pair with the greatest | m|.
2) If all mi have the same sign and only one mi C {0,1,-1}, then the optimal pixel pair ioptimal is selected from the other two pairs
with the smallest | m| .
3) If only one mi has a different sign from the other two pairs, the optimal pixel pair ioptimal is selected from the other two pairs
with the smallest | m|.
4) If only one mi Є {0, 1, -1} and the other two mi has different signs, the optimal pixel pair ioptimal is the pair with mi Є {0, 1, -
1}.
5) If there exists more than one pair with mi Є {0, 1, 1}, the optimal pixel pair ioptimal can be selected as any one pair with mi Є
{0, 1, 1}.
By following those selection rules described above, we can skip the calculation steps of MSE estimation to obtain the optimal
reference pairs. Thus, the total computational complexity can be greatly reduced [3]
(4) Motion Vector Technique:

(J4R/ Volume 01 / Issue 12 / 012)
Unlike the data-hiding methods in the motion vectors, we choose a different approach that selects those motion vectors whose
associated macro blocks prediction error is high than the candidates for hiding a bit in each of their horizontal and vertical
components [14].
g) Video Compression
It uses modern coding techniques to reduce redundancy in video data. It operates on square-shaped groups or blocks of
neighboring pixels, often called macro blocks. Generally, the motion field in video compression is assumed to be translational
with horizontal component and vertical component and denoted in vector form for the spatial variables in the underlying image,
such as the three step search(TSS), The conjugate directional search(CDS), one at a time search(OTS),the 2D-Algorithm
search(2-DLOGS),1-D full search(1-DFS),the parallel Hierarchical one-dimensional search(PHODS),efficient-simple
search(ESS) and their modified algorithms etc [9].
(1) Motion Vector
In video compression, a motion vector is a key element in the motion estimation process. It is used to represent a macro block in
a picture based macro block (or a similar one) in another picture, called the reference picture. Authenticated person, only after
taking the second privacy key has the authority to check the video which was sent by Admin. The member can see the video and
can detect the motion vector. After seeing this, the member obtains both the key [9].
Encryption
Encryption is the conversion of data into a form, called a cipher text that cannot be easily understood by unauthorized people.
Original message is being hidden within a carrier such that the changes so occurred in the carrier are not observable. The
information is the user defined information, the private key used to encrypt the text and the average time of the frame format is
given. The encryption of the text is done by using the AES standard algorithm since the key size is larger for the AES [9].
Extracting the original data
Decryption is the process of convert encrypted data back into its original form. When the user inputs the correct key that is used
at the decryption process, this will extract the original message that is encrypted and embedded [9].
Peak Signal-to-Noise Ratio
Larger SNR and PSNR indicate a smaller difference between the original and reconstructed image. The main advantage of this
measure is ease of computation but it does not reflect perceptual quality. [9].
Least Significant Technique:
The least significant bit (LSB) plane of the pixel values of an image is substituted with the message bits for low-bit modulation.
The receiver extracts the hidden message bits if he knows which pixels are modified [1].
Video steganography of late has also gained quite significance for researchers. Various techniques of LSB exists, proposes the
data is first encrypted using a key and then embedded in the carrier AVI video file in LSB keeping the key of encryption in a
separate file called key file. The cover video is then broken down into frames. [10].
Algorithm of Encoding
1) Step 1: Input the cover video file.
2) Step 2: Read required information of the cover video.
3) Step 3: Break the video into frames.
4) Step 4: Find 4 LSB bits of each RGB pixels of the cover frame.
5) Step 5: Obtain the position for embedding the secret data using hash function given in equation 1.
6) Step 6: Embed the eight bits of the secret image into 4 bits of LSB of RGB pixels of the cover frame in the order of 3, 3 & 2
respectively using the position obtained from step 5.
7) Step 7: Regenerate video frames.
II. ALGORITHMS
Tiny Encryption Algorithm:
In this algorithm, the sender encrypts the data in some form by using “Tiny encryption Algorithm”. It is basically a cryptographic
algorithm. It minimizes the memory & maximizes speed. It seems to be highly resistant to differential cryptanalysis. It achieves
complete diffusion (where a one bit difference in the plaintext will cause approximately 32 bit differences in the cipher text) after
only six rounds.[21]
The following notation is necessary:
1) Hexadecimal numbers will be subscribed with “h, e.g. 12=18.h
2) Bitwise Shifts: The logical left shift of x by y bits is denoted by x<<y. The logical right shift of x by y bits denoted by x>>y.
3) Bitwise Rotations: A Left rotation of x by y bits is denoted by x<<<y. A right rotation of x by y bits is denoted by x>>>y.
4) Exclusive-OR: It is logical operation of addition of n-tuples & is denoted by x+y.

(J4R/ Volume 01 / Issue 12 / 012)
Advanced Video Steganography Algorithm:
In this we encrypt the secret message file using simple bit shifting and XOR operation in the secret message file. We substitute
bits in LSB & LSB+4 bits in the cover file.
Bit Exchange Method:
The following steps for encryption method are:
- Read one by one byte from the secret message file & convert each byte to 8-bits then we apply 1 bit right shift operation on
the entire file so that each byte will be modified accordingly.
- We read 8-bits at a time and divide into two blocks 4 bits each and divide into two blocks 4 bits each & then perform the
XOR operations & substitute the new bits in right four bit positions. The same thing repeated for all bytes in the file.
- Repeat step one by performing 2 bits right shift for all bytes in the secret message file, then repeat step two again.[22]
Comparative list of Video Steganography Techniques and Algorithms
Annexure
III. CONCLUSION & RECOMMENDATIONS
It has been concluded that in case of stego image, the strength of the Steganography technique depends on various parameter viz.
robustness, embedding capability, imperceptibility level etc.
ANNEXURE
Table – 1
Video Steganography Techniques & Algorithms
Sr
no.
Author Year Technique Algorithm Application Advantages Disadvantages Ref
1.
Kousik
Dasgupta
J.K.
Mandal
and
Paramarth
a Dutta,
Mritha
Ramalinga
m
April
2012,
may
2011
Least
Significant
Bit
HLSB
algorithm
for encoding
and
decoding
Steganography
and
watermarking
perceptual
imperceptibility,
security, high
portability and
high
consistency
Less secure then
others
[10],
[16],
[17]
2.
Nazanin
Zaker &
Ali
Hamzeh
2011
Tri-way pixel
value
differencing
Embedding
Algorithm
,TPVD
algorithm
Tri-way Pixel,
horizontal,
vertical and
diagonal
Imperceptibility
, Robustness,
Capacity
Pixel pair can
hazards the
security of tpvd
[8],
[15],
[12]
3.
P.Paulpan
di , Dr.
T.Meyyapp
an
2012
Motion vector
technique
AES
algorithm
For moving
objects
improve the
quality, no
visual distortion
Hide the data
only in two
directions
[9]
4.
Neil F.
Johnson
and Stefan
C.
Katzenbeis
ser
2010
Pseudorando
m
permutations
Pseudorand
om
permutation
Distribution of
secret message
bits in a
random
selection
Increase the
complexity
Some bits can be
corrupted
[13]
5.
Neil F.
Johnson
and Stefan
C.
Katzenbeis
ser
2010 DCT Domain
Encoding
and
decoding
algorithm
Steganography
in DCT
domain
Robust against
JPEG
compression
Image data can
be destructed in
some blocks
[13]
6.
Than
Naing Soe
2000
Simple LSB
Method after
encryption
LSB Method
Can be done in
all media
forms
Simple
Limited data
carrying capacity
[18]

(J4R/ Volume 01 / Issue 12 / 012)
7.
Neil F.
Johnson
and Stefan
C.
Katzenbeis
ser
2010
Quantization
and dithering
Zhao and
Koch
algorithm
Steganography
through
quantized diff.
b/w pixel
values
Efficient Error Prone [13]
8.
Arun
Sharma
2014
Image
Steganograph
y Technique
Image
Encoding
algorithms
Secret
communicatio
n, improved
communicatio
n, data storage
Simple,
Efficient &
secure
Lot of overhead
to hide few bits
[20]
9.
Manisha
Yadav,
Mauli
Joshi,
Akshita
2013
Video
Steganograph
y Technique
Tiny
Encryption
Algorithm
Provide
security to
data, designed
for simplicity
& better
performance
Requires Less
memory &
maximize speed
Storing of data in
unprotected
mode, password
leakage may
occur, intruders
will affect stegos
[21]
10.
Pritish
Bhautmag
e, Prof.
Amutha
Jeyakumar
, Ashish
Dahatonde
2013
LSB
Technique
Bit
Exchange
Method,
Steganograp
hic
Algorithm
To Embed the
secret message
with full
security
Highly Secure,
Capacity,
Imperceptibility
, Video error
correction, less
computational
time
password leakage
may occur
[22]
11.
R.Rejani,D
.Murugan
and Deepu
V.Krishna
n
2013
JSON using
LSB based
steganograph
y
STEGANOD
B package
Insert, upsert,
delete, remove,
find
Integrity,
security
Image quality
degrades
[23]
REFERENCES
[1] A P Sherly and P P Amritha, “A compressed Video Steganography using TPVD” published in august 2010.
[2] Al-Othmani Z. Abdulaleem 1, Manaf Abdul Azizah 2 and Zeki M. Akram 3 “A Survey on Steganography Techniques in Real Time Audio Signals and
Evaluation” published in January 2012.
[3] Ali Hamzeh and Nazanin Zaker “A novel steganalysis for TPVD steganographic method based on differences of pixel difference histogram”
[4] Aly A. Hussein, Member, IEEE, “Data hiding in motion Vectors of compressed Video Based on Their Associated Prediction Error” published in march
2011.
[5] Andem, Reddy Vikram.”A Cryptanalysis of the Tiny Encryption Algorithm”,2003
[6] Ayhan, Yılmaz,“ROBUST VIDEO TRANSMISSION USING DATA HIDING” published in 2003.
[7] Chanu bern Jina Yam, Department of Computer Science & Engineering, NERIST, Nirjuli, Arunachal Pradesh, “A Short Survey on Image Steganography
and Steganalysis Techniques”.
[8] Dasgupta Kousik, Mandal J.K. and Dutta Paramartha, “Hash Based Least Significant Bit Technique for Video Steganography(HLSB)”
[9] Eloff J.H.P. , Morkel T. , Olivier M.S., “An overview of image steganography” published in 2002
[10] https://docs.google.com/viewer
[11] http://www.fourmilab.ch/javascrypt/stego.html
[12] Joseph Raphael Sundaram Dr. V. , Head & Director Research Scholar Department of Computer Applications Karpagam University Karpagam College of
Engineering Coimbatore, India. Coimbatore, India. “Cryptography and Steganography – A Survey”
[13] Johnson F. Neil and Katzenbeisser C. Stefan, “A Survey of Steganographic techniques”
[14] Lecture Notes on” Information security”, http://en.wikipedia.org/wiki/Information_security
[15] Paulpandi P. 1, Meyyappan Dr.T., M.sc., M.Phil., M.BA., Ph.D, “Hiding Messages Using Motion Vector Technique In Video Steganography “ published in
2012
[16] Prof Bhautmage Pritish, , Jeyakumar Amutha, Dahatonde Ashish, ”Advance Video Steganography Algorithm” ISSN:2248-9622
[17] Ramalingam Mritha “Video Steganography using Modified LSB Algorithm” published in 2011.
[18] Rejani R., Murugan D. and Krishnan V. Deepu,”Steganodb-A Secure Database” Volume 04,ISSUE 03,2013.
[19] Subhashini D., Nalini P., G. Chandrasekhar,“Comparison analysis of spatial Domain and compressed Domain steganographic techniques” published in june
2012.
[20] Sharma Arun,”An overview and survey on image Steganography Technique” ISSN 2277 128X,2014
[21] Zaker Nazanin & Hamzeh Ali, “A novel steganalysis for TPVD steganographic method based on differences of pixel difference histogram” published in
Springer Science Business Media, LLC 2011
[22] Zaker Nazanin, Hamzeh Ali,” Security Enhancement For TPVD Steganographic method” published in 2010.
[23] Zin Wai Wai, Than Naing Soe, “Implementation and Analysis of Three Steganographic Approaches”

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