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| Article Name : | | | DATA ENCRIPTION USING ARTIFICIAL NEURAL NETWORKS | | Author Name : | | | WALTER TAKASHI NAKAMURA , ROGÉRIO PEREIRA DOS SANTOS AND FABRÍCIO MORAES DE ALMEIDA | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | ROR-508 | | Article : | |  | Author Profile | | Abstract : | | | Humans always had a need to communicate with each other. Privileged information needed to be hidden or coded so the communication could be accomplished without interception by third parties. This need arose the concept of data encryption. Today, with increased competition and the ease and speed with which information is transmitted, data encryption has become a priority for businesses and large corporations. More than ever the information has immeasurable value. Companies spend millions to obtain privileged information, just as invest millions in security to keep them in their possession. This unceasing search for information that can provide competitive advantages makes it necessary to develop more robust methods to ensure information security, including the use of Artificial Neural Networks, one of the areas of Artificial Intelligence. | | Keywords : | | - Artificial Intelligence
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