Análise de dados de bases de honeypots: estatística descritiva e regras de IDS

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dc.contributor.advisorSilva, Leandro Nunes de Castropt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2741458816539568por
dc.contributor.authorFerreira, Pedro Henrique Matheus da Costapt_BR
dc.creator.Latteshttp://lattes.cnpq.br/6149553762834517por
dc.date.accessioned2016-03-15T19:37:56Z
dc.date.accessioned2020-05-28T18:08:38Z
dc.date.available2015-04-28pt_BR
dc.date.available2020-05-28T18:08:38Z
dc.date.issued2015-03-04pt_BR
dc.description.abstractA honeypot is a computer security system dedicated to being probed, attacked or compromised. The information collected help in the identification of threats to computer network assets. When probed, attacked and compromised the honeypot receives a sequence of commands that are mainly intended to exploit a vulnerability of the emulated systems. This work uses data collected by honeypots to create rules and signatures for intrusion detection systems. The rules are extracted from decision trees constructed from the data sets of real honeypots. The results of experiments performed with four databases, both public and private, showed that the extraction of rules for an intrusion detection system is possible using data mining techniques, particularly decision trees. The technique pointed out similarities between the data sets, even the collection occurring in places and periods of different times. In addition to the rules obtained, the technique allows the analyst to identify problems quickly and visually, facilitating the analysis process.eng
dc.description.sponsorshipFundação de Amparo a Pesquisa do Estado de São Paulopt_BR
dc.formatapplication/pdfpor
dc.identifier.citationFERREIRA, Pedro Henrique Matheus da Costa. Análise de dados de bases de honeypots: estatística descritiva e regras de IDS. 2015. 105 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2015.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24374
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjecthoneypotpor
dc.subjectdionaeapor
dc.subjectmineração de dadospor
dc.subjectIDSpor
dc.subjectárvores de decisãopor
dc.subjecthoneypoteng
dc.subjectdionaeaeng
dc.subjectdata miningeng
dc.subjectIDSeng
dc.subjectdecision treeseng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3872/PEDRO%20HENRIQUE%20MATHEUS%20DA%20COSTA%20FERREIRA.pdf.jpg*
dc.titleAnálise de dados de bases de honeypots: estatística descritiva e regras de IDSpor
dc.typeDissertaçãopor
local.contributor.board1Brosso, Maria Inês Lopespt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/6036666021206431por
local.contributor.board2Bueno, Paulo Marcos Siqueirapt_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/4704026086768358por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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