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Adaptive Self-Correcting Floating Point Source Coding Methodology for a Genomic Encryption Protocol

by Harry C. Shaw, Sayed Hussein, Hermann Helgert
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 3
Year of Publication: 2012
Authors: Harry C. Shaw, Sayed Hussein, Hermann Helgert
10.5120/8868-2840

Harry C. Shaw, Sayed Hussein, Hermann Helgert . Adaptive Self-Correcting Floating Point Source Coding Methodology for a Genomic Encryption Protocol. International Journal of Computer Applications. 56, 3 ( October 2012), 1-5. DOI=10.5120/8868-2840

@article{ 10.5120/8868-2840,
author = { Harry C. Shaw, Sayed Hussein, Hermann Helgert },
title = { Adaptive Self-Correcting Floating Point Source Coding Methodology for a Genomic Encryption Protocol },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 3 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number3/8868-2840/ },
doi = { 10.5120/8868-2840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:52.680771+05:30
%A Harry C. Shaw
%A Sayed Hussein
%A Hermann Helgert
%T Adaptive Self-Correcting Floating Point Source Coding Methodology for a Genomic Encryption Protocol
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 3
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We address the problem of creating an adaptive source coding algorithm for a genomic encryption protocol using a small alphabet such as the nucleotide bases represented in the genetic code. For codewords derived from an alphabet of N plaintext with probability of occurrence, p, we describe a mapping into a floating point representation of the codewords which are translated into genomic codewords derived from a novel modification of the Shannon-Fano-Elias coding process. Errors in the reverse decoding process are processed through an adaptive, self-correcting codebook to determine the best fit codeword decoding solution. A genetic algorithmic approach to error correction within the source coding is also summarized.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Source coding genetic algorithms probability mass functions. Shannon-Fano-Elias

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