International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 56 - Issue 3 |
Published: October 2012 |
Authors: Harry C. Shaw, Sayed Hussein, Hermann Helgert |
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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 }, year = { 2012 }, volume = { 56 }, number = { 3 }, pages = { 1-5 }, doi = { 10.5120/8868-2840 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Harry C. Shaw %A Sayed Hussein %A Hermann Helgert %T Adaptive Self-Correcting Floating Point Source Coding Methodology for a Genomic Encryption Protocol%T %J International Journal of Computer Applications %V 56 %N 3 %P 1-5 %R 10.5120/8868-2840 %I Foundation of Computer Science (FCS), NY, USA
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.