A Collective Algorithmic ApproachFor Enhanced DNA Database Security

INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY

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Field Value
 
Title A Collective Algorithmic ApproachFor Enhanced DNA Database Security
 
Creator Arputharaj J, Vijay
Manicka Chezian, Dr.R.
 
Subject DNA Database; Genetic Algorithm; Database Security; Security Algorithms.
 
Description The proposed method is a mixture of several security methods namely digital authentication tag along with the data mining in the DNA database. Data mining in the area of human genetics, an important goal is to understand the mapping relationship between the individual variation in human DNA sequences and variability in various algorithms for database security issues, for mutation susceptibility and parental identification differences. This paper primarily deals with the advancement of genetic algorithm with proper security features in DNA Databases and it enhances the special features in DNA database security. Several security methods include encryption algorithms, higher, not as much of multifaceted with trouble-free to apply in DNA Databases, used for protected database. The Reverse Encryption algorithm to protect data, Advance Cryptography algorithm to resist data, also Advanced Encryption Standard (AES) is most preferable for security in DNA databases.
 
Publisher CIRWORLD
 
Date 2009-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijmit/article/view/4631
 
Source INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY; Vol 4 No 1; 174-178
2278-5612
 
Language eng
 
Relation http://cirworld.com/index.php/ijmit/article/view/4631/4511
 
Rights Copyright (c) 2016 INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY
http://creativecommons.org/licenses/by/4.0
 

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