%0 Journal Article %1 noauthororeditor %A Sarkar, Arindam %D 2013 %J International Journal of Computational Science and Information Technology (IJCSITY) %K (NGKRMSMC), Character Genetic Key Modulo-2 Mutated Neuro Recursive Substitution base based chaining, genetic input key. neuro using vector, weight %N 4 %P 1- 11 %R 10.5121/ijcsity.2014.1404 %T NEURO GENETIC KEY BASED RECURSIVE MODULO-2 SUBSTITUTION USING MUTATED CHARACTER FOR ONLINE WIRELESS COMMUNICATION (NGKRMSMC) %U http://airccse.org/journal/ijcsity/papers/1413ijcsity04.pdf %V 1 %X In this paper, a neural genetic key based technique for encryption (NGKRMSMC) has been proposed through recursive modulo-2 substitution using mutated character code generation for online wireless communication of data/information. Both sender and receiver get synchronized based on their final output. The length of the key depends on the number of input and output neurons. Coordinated matching weight vectors assist to generate chromosomes pool. Genetic secret key is obtained using fitness function, which is the hamming distance between two chromosomes. Crossover and mutation are used to add elitism of chromosomes. At first mutated character code table based encryption strategy get perform on plain text. . Then the intermediate cipher text is yet again encrypted through recursive positional modulo-2 substitution technique to from next level encrypted text. This 2nd level intermediate cipher text is again encrypted to form the final cipher text through chaining and cascaded xoring of neuro genetic key with the identical length intermediate cipher text block. Receiver will perform same symmetric operation to get back the plain text using identical key

@article{noauthororeditor, abstract = {In this paper, a neural genetic key based technique for encryption (NGKRMSMC) has been proposed through recursive modulo-2 substitution using mutated character code generation for online wireless communication of data/information. Both sender and receiver get synchronized based on their final output. The length of the key depends on the number of input and output neurons. Coordinated matching weight vectors assist to generate chromosomes pool. Genetic secret key is obtained using fitness function, which is the hamming distance between two chromosomes. Crossover and mutation are used to add elitism of chromosomes. At first mutated character code table based encryption strategy get perform on plain text. . Then the intermediate cipher text is yet again encrypted through recursive positional modulo-2 substitution technique to from next level encrypted text. This 2nd level intermediate cipher text is again encrypted to form the final cipher text through chaining and cascaded xoring of neuro genetic key with the identical length intermediate cipher text block. Receiver will perform same symmetric operation to get back the plain text using identical key}, added-at = {2020-03-06T09:49:04.000+0100}, author = {Sarkar, Arindam}, biburl = {https://www.bibsonomy.org/bibtex/2074c56d0da5ab7f9276fb22b56230024/anderson_sam}, doi = {10.5121/ijcsity.2014.1404}, interhash = {757b60fce514fb01a9b9d33a12deeb29}, intrahash = {074c56d0da5ab7f9276fb22b56230024}, journal = {International Journal of Computational Science and Information Technology (IJCSITY)}, keywords = {(NGKRMSMC), Character Genetic Key Modulo-2 Mutated Neuro Recursive Substitution base based chaining, genetic input key. neuro using vector, weight}, month = {November}, number = 4, pages = {1- 11}, timestamp = {2020-03-06T09:49:04.000+0100}, title = {NEURO GENETIC KEY BASED RECURSIVE MODULO-2 SUBSTITUTION USING MUTATED CHARACTER FOR ONLINE WIRELESS COMMUNICATION (NGKRMSMC) }, url = {http://airccse.org/journal/ijcsity/papers/1413ijcsity04.pdf}, volume = 1, year = 2013 }