Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit Algorithm

IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 08, 2014 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 159
Encryption and Compression of Audio-Video Data Using Enhanced AES
and J-Bit Algorithm
Manpreet Kaur Grewal1
Ms. Sukhpreet Kaur2
1
M.Tech Research Scholar 2
Assistant Professor
1,2
Department of Computer Science & Engineering
1,2
Shri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India
Abstract— AES is considered a good encryption algorithm
in terms of providing security to a network in passing
information (data) in form of audio, string, and video and in
any other form. However it yields a low throughput
resulting in slowness and increasing energy dispensation of
server or an application. The Enhanced AES algorithm is
proposed in this paper which works by using sequence
counters and provides improved throughput as compare to
conventional AES algorithm. The J-Bit Encoding is being a
compression algorithm in lossless category which doesn't
decrease the quality but reduce the size of data to some
extent. It has been observed that the proposed encryption
algorithm integrated to J-Bit Encoding algorithm will
provide the effective security measures as well as increased
throughput as a parameter and less bandwidth usage as the
actual size of data shall not be sent along the network.
Keywords: AES, J-Bit, MP3
I. INTRODUCTION
Cryptography can be defined as the art or science of
changing or altering information to a chaotic state, so that no
one can read the real information when it is transferred over
the network or any unsecured channel. Due to the rapid
growth of internet, there is need to protect the sensitive data
and advancements in technology are of great need to keep
data secure from malicious users. The main strength of the
cryptographic techniques is that no one can read the
information without altering its content which is not an easy
task. During the course of time, many encryption algorithms
have been proposed to achieve the goal of safe environment
for data transfer. The main objective for designing an
encryption algorithm must be security against all possible
unauthorized attacks. However, for all practical applications,
performance, processing time, power consumption and the
cost of implementation are also important factors to be
considered...The good security algorithm is the one that
strikes balance between these factors [3][16].
A. Audio-Video Encryption
Encryption is very important when confidential data is
transmitted over the network to keep the data secure.
Encryption is a technique used to transmit secure
information. During the course of time various encryption
techniques have been implemented. But many techniques
encrypt only text data, a very few technique are
implemented for multimedia data such as video and audio
data. The techniques proposed for text data can also be
applied to multimedia data but have not attained reasonable
results. Various encryption techniques are implemented for
multimedia data. Many of them are not sufficient to meet
real time requirements and some provide poor security
measures. Encryption process for of audio and video data is
complex than the methods used for text data. Multimedia
encryption ensures secure data transmission. With the fast
growth of communication technology, protection of
multimedia from the hackers became an important aspect for
the technologist. So there will always be a need of a more
secure and faster audio encryption technique [11] [16]
II. RELATED WORK
M. Anand Kumar, Dr.S.Karthikeyan [3] in 2012 has
proposed a method which evaluates the performance of two
commonly known symmetric key algorithms. These
algorithms are tested according to different performance
metrics. The simulation results showed that the performance
of Blowfish is better performance than AES in almost all the
test cases. It is concluded that blowfish is good for text
based encryption where as AES has better performance for
image encryption. It is also identified that there is change in
performance when there is a change in key size of AES
algorithm.
Milind Mathur, Ayush Kesarwani [5] in 2013 has
conducted a comparison for the performance -DES, 3DES,
RC2, RC6, BLOWFISH AND AES algorithms. Results
shows that here is no significant difference in the case of
either in hexadecimal base encoding or in base 64 encoding,
Blowfish has better performance than other common
encryption algorithms used. In the case of changing packet
size, RC2, RC6 and Blowfish has disadvantage over other
algorithms. In the case of changing data type such as image
instead of text.
Jawahar Thakur, Nagesh Kumar [6] in 2011
proposed a method for simulation based performance
analysis of most common symmetric key cryptography
algorithms: DES, AES, and Blowfish. This evaluated
performance of algorithms under different settings. Results
showed that Blowfish has a better performance than other
common encryption algorithms used.AES showed poor
performance results compared to other algorithms since it
requires more processing power. Using CBC mode has
added extra processing time, but overall it was relatively
negligible especially for certain application that requires
more secure encryption to a relatively large data blocks.
Bismita Gadanayak, Chittaranjan Pradhan, Utpal
Chandra Dey [8] in 2011have proposed a method presenting
different encryption techniques, which are applied on the
Moving Picture Expert Group Layer III (MP3) compression,
for securely transmitting audio data over the network.
Experiments concludes that the time consumption for
selective AES encryption on MP3 compression is less than
total AES and DES encryption techniques on MP3
compression.
Agus Dwi Suarjaya [9] in 2012 have proposed and
confirmed a data compression algorithm that can also be
used to optimize other algorithm. This algorithm is called j-

Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit Algorithm
(IJSRD/Vol. 2/Issue 08/2014/039)
bit encoding (JBE).The algorithm will manipulates each bit
of data inside file to minimize the size without losing any
data after decoding which is classified to lossless
compression. The performance of this algorithm is measured
by comparing combination of different data compression
algorithms. An experiment was conducted by using 5 types
of files with 50 different sizes for each type, 5 combination
algorithms tested and compared. When inserted between
move to front transform (MTF) and arithmetic coding
(ARI), this algorithm gives better compression ratio.
Hyubgun Lee, Kyounghwa Lee, Yongtae Shin [10]
in 2009 proposed the solution of reliable sensor network
through measuring performance of AES encryption
algorithm by plaintext size to analyze the communication
efficiency and cost of operation per hop according to the
network scale. They analyzed the performance of AES
encryption algorithm on ATmega644p in 8-bit
microcontroller. As a result, scale of the sensor network
grows, the delay is doubled and energy consumption also
increased accordingly.
R.Gnanajeyaraman K.Prasadh, Dr.Ramar [11] in
2009 has proposed a novel higher dimensional chaotic
system for audio encryption in. Variables are treated as
encryption keys in order to achieve secure transmission of
audio signals. This gives much higher security. The higher
dimensional of the algorithm is used to enhance the key
space and security of the algorithm. The experiments show
that the algorithm has the characteristic of sensitive to initial
condition, high key space; digital audio signal distribution
uniformity and the algorithm will not break in
chosen/known-plaintext attack.
III. RESEARCH METHODOLOGY
Methodology of constructing the proposed system will
consists of various modules. Each module uses different
techniques and algorithms to perform its specific tasks.
After a particular module completes its task, its output will
become input for the next module. In the end the combined
effort of each module will be displayed. The working
modules of the proposed work are detailed below
A. Module 1-Symmetric Key Algorithm
The AES cryptographic algorithm falls under the symmetric
encryption, i.e. the same key is used at both ends to encrypt
and decrypt the data. However, AES actually depends on the
sequence counter instead of the encryption key. The major
benefit of using AES over other encryption algorithms is its
power of customization. The user can manipulate the
sequence counter according to his needs; whether he wants
it to be simple and faster or hard to crack and secure.
Sequence Counter - Sequence counter is used to provide the
dynamic behavior while converting the characters from one
form to another. Sequence counters are the imposed
temporary key to alter the characters and bits in the original
data. The sequence is applied to the chosen number of data
bits and the sequence number changes according to an
algorithm, which needs not to be saved or transferred over
the network.
The sequence counters in the proposed algorithm
are used at following levels:
1) Block level
This is the uppermost level where blocks characters of a
single block or line are transposed according to the sequence
counter.
2) Character Level
Every character have an equivalent ASCII value, which can
be merged with the sequence counter.
3) Binary Level
The binary level is lowermost level. The calculation done
here is totally is in form of 0 and 1. Bit level calculation
provide more security because its effect are visible to all the
level above it include character level.
The encryption process for the proposed work is
shown below.
Fig. 1: Enhanced AES encryption process
The decryption process for the proposed work is
shown below.
Fig. 2: Enhanced AES Decryption Process
The algorithm proposed in this paper works using
Sequence Counters is based on the concept of user
customization. The algorithm doesn‟t use the traditional
approach of using an encryption key; but defines a series of
sequence-counters for encoding. The cryptosystem gives
extra power to the user i.e. to choose the sequence counters.
Thus it is up to the user to maintain a balance
between speed and security provided by the algorithm. The
user can increase or decrease security and speed depending

upon his/ her needs. The cryptographic algorithm is based
partially on both stream and block encryption, hence the
output of same input block over same input sequence-
counter is dissimilar and provides enhanced security.
B. Module 2-J-bit encoding (JBE) Algorithm
J-bit encoding (JBE) works by manipulate bits of data to
reduce the size and optimize input for other algorithm. The
main idea of this algorithm is to split the input data into two
data where the first data will contain original nonzero byte
and the second data will contain bit value explaining
position of nonzero and zero bytes. Both data then can be
compress separately with other data compression algorithm
to achieve maximum compression ratio.
Step-by-step of the compression process can be describe as
below:
(1) Read input per byte, can be all types of file.
(2) Determine read byte as nonzero or zero byte.
(3) Write nonzero byte into data I and write bit „1‟ into
temporary byte data, or only write bit „0‟ into
temporary byte data for zero input byte.
(4) Repeat step 1-3 until temporary byte data filled
with 8 bits of data.
(5) If temporary byte data filled with 8 bit then write
the byte value of temporary byte data into data II.
(6) Clear temporary byte data.
(7) Repeat step 1-6 until end of file is reach.
(8) Write combined output data
(1) Write original input length.
(2) Write data I.
(3) Write data II.
Step-by-step of the decompression process can be describe
below:
(1) Read original input length.
(2) If was compressed separately, decompress data I
and data II (optional).
(3) Read data II per bit.
(4) Determine whether read bit is '0' or '1'.
(5) Write to output, if read bit is '1' then read and write
data I to output, if read bit is '0' then write zero byte
to output.
(6) Repeat step 2-5 until original input length is reach
[9]
IV. RESULTS
A. Analysis For Audio Data
1) Encryption Time for Audio Data
The table given below shows the encryption time consumed
by AES and the enhanced AES when audio files of different
size are encrypted.
Sr No.
Audio File
(KB)
AES
(ms)
Enhanced AES
(ms)
1 8884 980 955
2 8800 960 940
3 8282 825 800
4 7844 785 765
5 6867 690 675
6 6488 685 650
7 4677 575 556
8 2826 385 360
9 387 90 70
10 33 10 5
Table 1: Encryption Time for Audio Data
2) Bar graph of encryption time
The graph below shows how much time the AES algorithm
and the enhanced AES will take in encrypting the audio files
of different size.
Fig. 3: Comparative status of encryption time amongAES
and enhanced AES (audio)
3) Average encryption time for audio data
The table below shows the average encryption time for
audio data.
Audio File
(KB)
AES
(ms)
Enhanced AES
(ms)
8884 980 955
8800 960 940
8282 825 800
7844 785 765
6867 690 675
6488 685 650
4677 575 556
2826 385 360
387 90 70
33 10 5
Average time 5985 5776
Throughput 9.29 9.53
Table 2: Average Encryption Time For Audio Data
4) Bar graph of average encryption time
Fig. 4: Average encryption time for audio data
0
200
400
600
800
1000
1200
8884
8800
8282
7844
6867
6488
4677
2826
387
33
Durationtimeinmilliseconds
Audio file(KB)
AES

5) Decryption time for audio data
The table given below shows the decryption time consumed
by AES and the enhanced AES when audio files of different
size are decrypted.
Audio File
(KB)
AES
(ms)
Enhanced AES
(ms)
8884 985 957
8800 967 944
8282 833 805
7844 790 769
6867 697 678
6488 690 655
4677 582 559
2826 390 365
387 100 77
33 15 9
Table 3: Decryption Time For Audio Data
6) Bar graph of decryption time
and the enhanced AES will take in decrypting the audio files
of different size.
Fig. 5: Comparative status of decryption time among
AES and enhanced AES (audio)
7) Average decryption time for audio data
The table below shows the average decryption time for
audio data.
Audio File
(KB)
AES
(ms)
Enhanced AES
(ms)
8884 985 957
8800 967 944
8282 833 805
7844 790 769
6867 697 678
6488 690 655
4677 582 559
2826 390 365
387 100 77
33 15 9
Average Time 6049 5818
Throughput 9.10 9.46
Table 4: Average Decryption Time For Audio Data
8) Bar graph of average decryption time
The plot given below shows the bar graph of average
decryption time.
Fig. 6: Average decryption time for audio data
9) Throughput at encryption side (audio):
In the graph below, throughput for encryption side is drawn.
Fig. 7: Comparison of throughput at encryption side (audio)
From the above plot, it is observed that the
throughput at encryption end of enhanced AES is more than
that of AES algorithm.
10) Throughput at decryption side (audio)
In the graph below, throughput for encryption side is drawn.
Fig. 8: Comparison of throughput at decryption side (audio)
throughput at decryption end of enhanced AES is more than
AES algorithm.
0
200
400
600
800
1000
1200
Audio file(KB)
AES
Enhanced AES
5700
5750
5800
5850
5900
5950
6000
6050
6100
AES Enhanced AES
Time(ms)
Cryptographic Algorithm
9
9.1
9.2
9.3
9.4
9.5
9.6
AES Enhanced AES
Throughput(KB/millisec)
Cryptographic algorithm
8.9
9
9.1
9.2
9.3
9.4
9.5
AES Enhanced AES
Throughput(KB/millisec)

B. Analysis For Video Data
Encryption Time for Video Data: The table given below
shows the encryption time consumed by AES and the
enhanced AES when video files of different size are
encrypted.
Sr No.
Video Files
(MB)
AES
(ms)
Enhanced AES
(ms)
1 1013.76 57828 56700
2 892 42594 41300
3 701 36688 35250
4 372 14703 12980
5 157 6031 5050
6 103 4094 3090
7 89.2 3484 2754
8 54.1 2187 2000
9 16.9 782 601
10 2.74 125 112
Table 5: Encryption Time For Video Data
2) Bar graph of encryption time
and the enhanced AES will take in encrypting the video files
of different size.
Fig. 9: Comparative status of encryption time among AES
and enhanced AES (video)
3) Average encryption time for video data
Video Files
(MB)
AES
(ms)
Enhanced AES
(ms)
1013.76 57828 56700
892 42594 41300
701 36688 35250
372 14703 12980
157 6031 5050
103 4094 3090
89.2 3484 2754
54.1 2187 2000
16.9 782 601
2.74 125 112
Throughput(MB/ms) 20.06 21.79
Table 6: Average Encryption Time For Video Data
4) Bar graph of average encryption time
Fig. 10: Average encryption time for video data
5) Decryption time for video data:
The table given below shows the decryption time consumed
by AES and the enhanced AES when video files of different
size are encrypted.
Sr No.
Video Files
(MB)
AES
(ms)
Enhanced AES
(ms)
1 1013.76 62140 61031
2 892 59859 57900
3 701 33984 32015
4 372 17172 16056
5 157 7297 7176
6 103 4859 4704
7 89.2 4156 4087
8 54.1 2532 2405
9 16.9 828 743
10 2.74 156 138
Table 7: Decryption Tine For Video Data
5) Bar graph of decryption time
and the enhanced AES will take in decrypting the video files
of different size.
Fig.11: Comparative status of decryption time among AES
and enhanced AES (video)
0
10000
20000
30000
40000
50000
60000
70000
Video file(MB)
AES
Enhanced AES
154000
156000
158000
160000
162000
164000
166000
168000
170000
AES Enhanced AES
Time(ms)
0
10000
20000
30000
40000
50000
60000
70000
Video file(MB)
AES
Enhanced AES

From the above plot, it is observed that the throughput at
encryption end of enhanced AES is more than that of AES
algorithm.
7) Average decryption time for video data
Video Files
(MB)
AES
(ms)
Enhanced AES
(ms)
1013.76 62140 61031
892 59859 57900
701 33984 32015
372 17172 16056
157 7297 7176
103 4859 4704
89.2 4156 4087
54.1 2532 2405
16.9 828 743
2.74 156 138
Throughput(MB/ms) 18.2 18.7
Table 7: Average Decryption Time For Video Data
8) Bar graph of average decryption time
The plot given below shows the bar graph of average
decryption time.
Fig. 12: Average decryption time for video data
9) Throughput at decryption side (video)
Fig. 13: Comparison of throughput at encryption side
(video)
10) Throughput at decryption side (video)
In the graph below, throughput for decryption side is drawn.
Fig. 14: Comparison of throughput at decryption side
(video)
throughput at encryption end of enhanced AES is more than
that of AES algorithm.
V. CONCLUSION
The main goal of this thesis is to improve the throughput
and security of the AES algorithm with the design of the
enhanced AES algorithm and to compress the encrypted
data so as to transfer the data fast over the network. This
paper presented an enhanced AES algorithm along with a
lossless compression technique. Algorithm is implemented
for audio and video data. The encrypted data is further
compressed by J-Bit Encoding, a lossless compression
algorithm. Results shows that the algorithm requires less
encryption and decryption time to process audio and video
files as compare to conventional AES.The algorithm gives
improved throughput than conventional AES.
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183000
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AES Enhanced AES
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AES Enhanced AES
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