DocumentCode
548701
Title
Security of Business to Business and Business to Customer Software Applications based on the Central Dogma of Molecular Biology (CDMB) and evolutionary models
Author
Hodorogea, Tatiana ; Otto, Ionas Szilard
Author_Institution
INNOVA BIOTECH, Cluj-Napoca, Romania
fYear
2011
fDate
27-30 June 2011
Firstpage
403
Lastpage
408
Abstract
The development, implementation and testing for Security of Business to Business and Business to Customer Software Applications System is based on the Central Dogma of Molecular Biology (CDMB), where we derive DNA Cryptographic Keys based on evolutionary models as public-key algorithms are based on mathematical functions rather than on substitution and permutation involving the use of two separate keys, in contrast to symmetric encryption, which uses only one key. When aligning the DNA sequences of the same gene from related species, there will usually be differences between the sequences because of evolution and because of the degeneracy of the genetic. Based on evolutionary models we extract and align the DNA sequences of the same gene from related chosen species with respect to human DNA Sequences. The alignment in the evolutionary system pipeline is realized with ProbCons tool, which is a pair-hidden Markov model-based on progressive alignment algorithm that primarily differs from most typical approaches in its use of maximum expected accuracy. After aligning our extracted DNA Sequences with ProbCons we derive the private/public pair DNA cryptographic keys based on evolutionary models mathematical functions used for Security of Web-based Business Processes Software Applications.
Keywords
DNA; Internet; electronic commerce; hidden Markov models; molecular biophysics; public key cryptography; software engineering; DNA cryptographic keys; ProbCons tool; Web-based business processes software applications; business to business software applications; business to customer software applications; central dogma of molecular biology; evolutionary models; pair-hidden Markov model; public key algorithms; security; DNA cryptographic keys; Hidden Markov Model; Public-key Introduction; evolutionary models;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces (ITI), Proceedings of the ITI 2011 33rd International Conference on
Conference_Location
Dubrovnik
ISSN
1330-1012
Print_ISBN
978-1-61284-897-6
Electronic_ISBN
1330-1012
Type
conf
Filename
5974056
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