ARTIFICIAL NEURAL NETWORKS APPLIED TO INTRUSION DETECTION ON TCP/IP NETWORKS / REDES NEURAIS ARTIFICIAIS APLICADAS À DETECÇÃO DE INTRUSÃO EM REDES TCP/IP
AUTOR(ES)
RENATO MAIA SILVA
DATA DE PUBLICAÇÃO
2005
RESUMO
Computer attacks and intrusions poses significant threats to companies and organizations interconnected through packet networks and the Internet. Most current approaches to intrusion detection rely on previous knowledge of attack patterns and are not capable of detecting new intrusion techniques. This work presents the application of artificial neural networks as a component of an intrusion detection system. Exploring neural networks generalization capabilities the system should be able to detect new attack patterns and sustain a high detection rate. Neural networks ensembles are also used in order to achieve higher accuracy and lower false-positive rates.
ASSUNTO(S)
internet redes neurais inteligencia computacional neural networks information security internet deteccao de intrusos intrusion detection computational intelligence seguranca da informacao
ACESSO AO ARTIGO
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