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

Harry C. Shaw; Sayed Hussein; Hermann Helgert

Research Article

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

by Harry C. Shaw, Sayed Hussein, Hermann Helgert

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 56 - Issue 3

Published: October 2012

Authors: Harry C. Shaw, Sayed Hussein, Hermann Helgert

10.5120/8868-2840

PDF

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

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

No index terms available.

Keywords

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