Um método de classificação em grupos de informações visando sua segurança

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dc.contributor.advisorOmar, Nizampt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2067336430076971por
dc.contributor.authorTorres, José Antonio Corralespt_BR
dc.creator.Latteshttp://lattes.cnpq.br/9730168946190234por
dc.date.accessioned2016-03-15T19:38:09Z
dc.date.accessioned2020-05-28T18:08:42Z
dc.date.available2008-05-08pt_BR
dc.date.available2020-05-28T18:08:42Z
dc.date.issued2008-03-05pt_BR
dc.description.abstractIn the contemporary society, information and knowledge grew in importance and have become the most valuable assets, space and time are less relevant and more vulnerable due to the increasing mobile technology. New procedures and processes were created towards security. The information classification is the primary requirement to adjust rules and procedures, the protection level and cost. The current process is manual, restricted by the knowledge of few people and subject to imperfections. This study suggests a method to classify the information, regarding its confidentiality, using groups generated by an Artificial Neural Network. The development of this method was supported by studies of methodologies applied to information protection, to the technology and business risk management, classification methodologies and control structures. The implementation made use of a Neural Network, based on the Self-Organization Maps (SOM) of Kohonen, due to its heavy specialization on groups handling. The study case objective was the implementation and it considered the information from universities, due to their various properties (administrative, pedagogic and scientific research). The analysis of the results indicated the similarity among the elements that composed the groups generated by the training of the Neural Network, complemented by calculations using the original weights. The viability of the application of the considered method to an organization was confirmed.eng
dc.formatapplication/pdfpor
dc.identifier.citationTORRES, José Antonio Corrales. Um método de classificação em grupos de informações visando sua segurança. 2008. 154 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2008.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24400
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjectinformaçõespor
dc.subjectsegurançapor
dc.subjectclassificação das informaçõespor
dc.subjectredes neuraispor
dc.subjectredes de Kohonenpor
dc.subjectmapas auto-organizáveispor
dc.subjectinformationeng
dc.subjectsecurityeng
dc.subjectinformation classificationeng
dc.subjectartificial neural networkseng
dc.subjectKohonen s neteng
dc.subjectself-organization mapseng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3616/Jose%20Antonio%20Corrales%20Torres.pdf.jpg*
dc.titleUm método de classificação em grupos de informações visando sua segurançapor
dc.typeDissertaçãopor
local.contributor.board1Brosso, Maria Inês Lopespt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/6036666021206431por
local.contributor.board2Anzaloni, Alessandropt_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/0993712131858054por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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