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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/12/1997 |
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Data da última atualização: |
18/03/2011 |
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Autoria: |
CANSIAN, A. M.; MOREIRA, E. S.; MOURO, R. B.; MORISHITA, F. T.; CARVALHO, A. C. P. de L. F. de. |
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Afiliação: |
ADRIANO M. CANSIAN, IBILCE/UNESP; EDSON S. MOREIRA, ICMSC/USP; ROGÉRIO B. MOURO, ICMSC/USP; FÁBIO T. MORISHITA, ICMSC/USP; ANDRÉ C. P. de L. F. de CARVALHO, ICMSC/USP. |
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Título: |
An adaptive system for detecting intrusion in networks. |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
In: CONGRESO INTERNACIONAL DE INGENIERIA INFORMÁTICA, 3., 1997, Buenos Aires. Proceedings... Buenos Aires: Universidad de Buenos Aires, Facultad de Inginieria, 1997. |
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Páginas: |
p. 96-105. |
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Idioma: |
Inglês |
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Conteúdo: |
As the Internet expands both in number of hosts connected and in terms of the number of services provided, security has become a key issue for the technology developers. This work presents current development status of a system which, positioned at key points of the network, will keep looking at the passing packets, in search of suspicious connections. The system provides a list of such connections for the administrator, enabling him/her to take the proper action at an early stage of the intrusion. Neural Networks are used to look for profiles of intrusion within the analysed data streams. The assessment is done through comparison with well known profiles of intrusion. The system is highly adaptive, since new profiles can be added to the data base and the Neural Network re-trained to consider them. |
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Palavras-Chave: |
Networks; Redes neurais; Sistema adaptativo. |
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Thesaurus Nal: |
Internet; Neural networks. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01569naa a2200241 a 4500
001 1005498
005 2011-03-18
008 1997 bl uuuu u00u1 u #d
100 1 $aCANSIAN, A. M.
245 $aAn adaptive system for detecting intrusion in networks.
260 $c1997
300 $ap. 96-105.
520 $aAs the Internet expands both in number of hosts connected and in terms of the number of services provided, security has become a key issue for the technology developers. This work presents current development status of a system which, positioned at key points of the network, will keep looking at the passing packets, in search of suspicious connections. The system provides a list of such connections for the administrator, enabling him/her to take the proper action at an early stage of the intrusion. Neural Networks are used to look for profiles of intrusion within the analysed data streams. The assessment is done through comparison with well known profiles of intrusion. The system is highly adaptive, since new profiles can be added to the data base and the Neural Network re-trained to consider them.
650 $aInternet
650 $aNeural networks
653 $aNetworks
653 $aRedes neurais
653 $aSistema adaptativo
700 1 $aMOREIRA, E. S.
700 1 $aMOURO, R. B.
700 1 $aMORISHITA, F. T.
700 1 $aCARVALHO, A. C. P. de L. F. de
773 $tIn: CONGRESO INTERNACIONAL DE INGENIERIA INFORMÁTICA, 3., 1997, Buenos Aires. Proceedings... Buenos Aires: Universidad de Buenos Aires, Facultad de Inginieria, 1997.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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