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Springer Advances in Intelligent Systems and Computing Series.
Data Encryption Using Hybrid Genetic Algorithm
JOSEPH EMMANUEL a
, SHASHIDHAR Vb
a
Research Scholar, Dept of CSE, RajaRajeswari College of Engineering, Bangalore -74, Email: joseph.emmanuel@outlook.com
b
Asst.Professor, Dept. of CSE, RajaRajeswari College of Engineering, Bangalore -74, Email: shashigowd@gmail.com
Abstract
Encryption of data is the key to security in terms of the data hiding and transfer. To achieve this kind of security
proposed system can all ways think of different data hiding mechanism. But once a data encryption algorithm
established it is easy to crack by the hackers, for this kind of addressed problem proposed system can use genetic
algorithm which can be a start to the new generation algorithm. with the help of genetic algorithm and hybrid
encryption techniques the security gives the maximum to these kind of problem, which addressing a new concept of
making genetic algorithm work in both image steganography and musical encryption.
Keywords: Genetic Algorithm, Musical Cryptography, HybridAlgorithm,Encryption, Decryption
1. Introduction
.
In this new world of digital technology, the old communication technique has been moved to digital
communication with the use of Internet and its subsequent technologies. In the digital communication era, keeping
data private is a serious issue that has to be addressed. To move with this task cryptography is used in data security.
Thus security is the key to unlock a communication world. Branch of security, which are cryptography,
information hiding, steganography and watermarking etc. provides improved role as they take part. As the skill
possesseson changing its aspect with advanced features, there is necessary to get apprise.
Figure 1: Shows the data encryption & decryption
Generally, when a new algorithm technique is created or an existing algorithm is swotted, intruders or hackers
break the algorithm. Information security means protection of data access from unauthorized users and hackers or
intruders. Thus it is essential to improve algorithms more effective and indestructible. The network security is
forked into cryptography and information hiding techniques. Information hiding con tains steganography and
watermarking methods. In cryptography, encryption of information's takes place at the transmitter and decryption at
the receiver unit. In cryptography, encryption of information's takes place at the transmitter and decryption at the
receiver unit.

Messages rather one information to be exchanged is usually in a specific language that we people practice;
anyone who knows of language can get the substance of the message without the previous knowledge of the
situation. The messages to be communicated are usually called as plain text message. Cryptography is the art of
altering a plain text message into meaningless or unreadable message Music and its qualities have been used in
cryptography from initial days.Musical symbols and musical notes taken been used as substitution cipher.
The algorithms applied to musical cryptography custompredefined set of notes and rules for the blend of musical
designs. The main task in the musical cryptography is to produce musical cryptograms which in chance are good
order of musical designs peaceful to ear. Apart from cryptographic algorithms Steganography remains used in
hiding messages. Unseen inks and Microdots are the samples of submission of steganography. Steganography is the
skill of hiding secret messages into another message, audio and videos are generally used as cover file to hide furtive
messages. By this it also conceals the reality of the message.
2. Literature Survey
The survey papers of genetic algorithm and data encryption techniques, after analysing the paper we came to
conclusion that what can be done in the proposed system.
The rapid developments of the communication and applications of multimedia techniques in recent years lead the
researchers to focuses on the security of digital data over the internet. In this paper we have discussed the use of
Elliptical Curve Cryptography for ciphering colour images. The adoption of elliptic curve cryptography in to
cyphering images will make more consecutive solutions for the entire process.The main advantage of this method is
that the time taken to implement the entire working systemwill be less and also it will take less hardware
requirements to implement the entire cryptographic system. Also people with less knowledge about high end
cryptographic procedures can establish the algorithm with less time which will make the entire idea more popular.
But the solitary problem is that the time taken for the process to complete the entire procedure. All the
calculation part will take less time but delivering the entire key distribution process will be high and there is precise
guaranty for the security of these distribution processes.It considers deploying the algorithm in small application
systems,it will make the process slowwhich lead to more problematic cryptographic establishments.Finally, the
security provided doesn’t meet high end applications like military data transfer or similar process,which needed
more security. Genetic algorithm (GA) based symmetric key musical cryptography algorithm is proposed to obtain
an optimal sequence of musical patterns as a cipher message. Other than all cryptographic methods it’s having the
ability to deliver a new systemwith high security become the musical encryption will need more knowledge on
musical notes which will make confusion for the hacker to decrypt the data.Without knowing the actual algorithm,
it is hard to break the code as the algorithm dealing with high end musical knowledge.
But on the other hand it will have other problems like implementation of the algorithm will consume more
time and also it will take more time to process data and convert in to a useful encrypted data. If beginner try to
implement the algorithm it will make almost impossible implement the entire systemas the knowledge n eeded for
the process is different than others.The idea of musical encryption is like double bladed sword as it will make
confusion to the hacker as well as to the person actually try to implement the algorithm. Also the implementation
and hardware requirements for the systemis high compared to the other algorithms.
The textual information related to the secret image is embedded into the secret image with the help of data
hiding techniques before dividing it into fragments. The main advantage of this technique is that it will provide two
layers of security. The first layer will be encoded the data into a single image and second layer will combine the
encrypted image into anotherimage. By giving this two-layer encryption it will be hard to crack the encryption code
and having knowledge the simple image encryption will give the ability to understand the algorithm easier. But
again looking into the problem side, it will make more encryption time as well as it need more processing resources
to complete the algorithm.
3. Description
Steganography is a division of data hiding. It allows the people to communicate secretly. As increasingly more
material becomes available electronically, the influence of steganography on our lives will continue to grow. Much
confidential information was leaked to a rival firm using stenographic tools that hid the information in music and
picture files. It is the process of hiding the information in to a picture and converting into a new picture with new

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pixel image. These images usually contain private or confidential information which are to be protected from
exposure due to leakages during transmissions.
The whole system works in above mentioned manner. The system mainly consists of seven intermediate
processes ormodules. The following are the list of modules.
• Image steganography module
• Image merging module
• P2b module
• Musical encryption module
• RNG module
• SNG module
• Genetic Algorithm module
Step by step execution of these modules produce the final encrypted file which containing the text. These
modules will process the data concurrently in order to produce the output in encryption and decryption.
3.1 Module Description
Encryption is process of hiding data in the multiple files or single file to produce stronger output file which is
hardly unable to understand the encryption standard is used will determine the power of hiding image. it is essential
to improve algorithms more effective and indestructible. The network security is forked into cryptography and
information hiding. Information hiding contains steganography and watermarking.
Whereas Decryption is process of verdict data from the multiple files or single file to produce actual data
file which is easy to understand. The decryption standard is used will determine the power of accessing image. It is
essential to improve algorithms more effective and indestructible. The network security is forked into cryptography
and information hiding. Information hiding contains steganography and watermarking.
3.1.1Encryption
In cryptography,encryption of data's takes place at the transmitter and decryption at the receiver section.
Passive attacks are in the nature of eavesdropping on,or monitoring of, transmissions.The goal of the opponent is
to obtain information that is being transmitted. Two types of passive attacks are release of message contents and
traffic analysis.
Figure 4: Dataflow diagram for system encryption process

Figure 4 shows the actual encryption process of all module .in this step certain individual processes to
form the actual encoding. This consists ofcertain steps like musical encryption,data steganography,image hiding
etc.
3.1.2Decryption
In cryptography,decryption of data's takes place at the transmitter and decryption at the receiver section .
Passive attacks are in the nature of eavesdropping on,or monitoring of, transmissions.The goal of the opponent is to
obtain information that is hidden but as the algorithm providing high security its becomes impossible.
Figure 5: Dataflow diagram for system decryption process
Figure 5 shows the actual decryption process of all module .in this step certain individual processes to
form the actual decoding. This consists ofcertain steps like musical encryption,data steganography,image
hiding to produce the actual message.
4. System Design
Steganography is a branch of information hiding. It allows the people to communicate secretly. As increasingly
more material becomes available electronically, the influence of steganography on ourlives will continue to grow.
Much confidential information was leaked to a rival firm using stenographic tools that hid the information in music
and picture files. It is the process of hiding the information in to a picture and converting into a new picture with
new pixel image. These images usually contain private or confidential information which are to be protected from
exposure due to leakages during transmissions.
Image Steganography:In this particular stage data encryption will take its first step of transferring the data
into a hided message. This stage is achieved by two methods called image data transform and image data merging.
These two methods can be implemented one at a time or combination of both.This decision is made by the genetic
algorithm in the following modules.
Musical Encryption: By implementation of this method will provide the entire data a new hiding mechanism
where data from previous stage will be converted as musical data. Where data will be encrypted using musical
notations and properties. RNG Pool: This method is to provide high security for the genetic algorithm to make
decision among the different situations to select methods in above mentioned procedures.
SNG Pool: this step is to provide validation and legitimacy of the senderand receiver by adding the system
information to the data which is hidden.

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Figure 2: Architectural diagram of conceptual system
The figure 2 represented the basic conceptual diagram of the proposed system.It’s a waterfall model it’s
also having intermediate steps which follows the production of the project. This process will have done two sides,
both sendersides as well as receiver side.
The idea of simple image encryption lies in the next figure 3. This explains the basic flow of bits and its
conversion.This method is simpler in its procedure. But when this process embedded in to the genetic algorit hm its
becomes more complicated.
Figure 3: The diagram of image steganography
5. Results and discussion
The proposed systemwas employed in MATLAB. At first the algorithm will execute the image steganography
module in which entire data which needed to code will be stored in the database in the form of bits and the it will

have encoded to a grey scale image once the process finished then it will give for the encryption process as the
input to musical encryption. In both modules the attributes were given by the GA to extend where it’s impossible to
predict. A genetic rule will be produced in order to create this step.The hypothesis space will be calculated by the
data taken from both SNG pool and RNG pool. On every time execution the hypothesis space becomes more
advanced to produce the advanced encrypted output file.
Figure 6: The screenshot of the Application after Data Hiding
Figure 7: The screenshot of theapplication after data merging
Figure 8: The Screenshot of the Application after applying GA

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Conclusion
The musical encryption techniques are attracting more attention because its ability to provide high security
for the data.Once the technique is embedded with genetic algorithm its almost make the setup untraceable. Once
the image file created it will convert into a normal binary to pixel conversion.This conversion will give the ability
to produce a new musical file which contains the data. As the file doesn’t implement any external musical file it
will be good to produce high rate encryption file. This step will avoid the ability to match and learn technique and
data analysis technique type attacks.
The idea of this encryption is to provide high security towards all kinds of attacks. But even with high security
taking high systemresources.The encryption and Decryption will take more time than other techniques.
The future work will more focusing on decreasing the processing time and faster execution of the program.it
should reflect in such a way that it will change the images without any hesitation.
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Authors Biography
Joseph Emmanuel Research Scholar, Dept of CSE, RajaRajeswari College of Engineering, Bangalore. He is
completed his B.Tech. degree from Christ University Bangalore, He is currently pursuing his M.Tech. degree from
VTU.
Shashi Gowda Asst.Professor, Dept of ISE, RajaRajeswari College of Engineering, Bangalore. He is completed his
B.E. degree from VTU and M.Tech. degree from University of Madras. He is currently pursuing his Ph.D degree
from xxx university, vttt. He has published 5 papers in national and international journals and conferences. He is life
member of ISTE, IAENG, CSI.

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