Encryption and Decryption of Data by Genetic Algorithm

S. Dubey¹ , R. Jhaggar² , R. Verma³ , D. Gaur⁴

1. International Institute of Professional Studies, Devi Ahilya University , Indore, India.
2. International Institute of Professional Studies, Devi Ahilya University , Indore, India.
3. International Institute of Professional Studies, Devi Ahilya University , Indore, India.
4. School of Computer Science and Information Technology, Devi Ahilya University, Indore, India.

Correspondence should be addressed to: shubhamdubey1312@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.47-52, Jun-2017

Online published on Jun 30, 2017

Copyright © S. Dubey, R. Jhaggar, R. Verma, D. Gaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This is the age of science where we deal with a huge set of data daily. Every day user shares huge amount of personal data in social sites, messaging applications, commercial sites and in other service based platforms. To accomplish transactions we need to share our credit/debit card number with passwords too, which makes the transaction very much sensitive. Randomness in the data is called Entropy. The entropy of data is directly proportional to the security of corresponding data. Security is the most favorable and mandatory feature of data transfer and storage based services. Since the quantity of data travel through the networks growing rapidly with respect to time thus enhancement in security is highly needed. According to the described variation of genetic algorithm users will have to give message as well as key also the help of these data sets, algorithm will give ciphertext and hence encryption has been achieved. At receiver’s end decryption of data takes place. The key by which encryption has been done in this algorithm is combination of two matrix of equal length. It will increase the security because of dependency on both the matrix.

Key-Words / Index Term :
Cryptography, Genetic Algorithm, Encryption, Decryption, Key, Cipher text

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