Autores
Aguirre Anaya Eleazar
Título Neural network based attack detection algorithm
Tipo Revista
Sub-tipo SCOPUS
Descripción WSEAS Transactions on Computers
Resumen The influence of computer technology on the human activities has greatly increased during the last three decades, due to major developments in the VLSI technology. However this widespread use of computer equipments has generated computer a considerable increase of computer crimes. To reduce this problem it is necessary to carried out a network analysis using the computer network traffic. However the increase of network traffic is huge, doing the analysis of traffic data complicated. Thus it is required to develop an effective and automatic algorithm to carry out the traffic network analysis, facilitating I such way the expert forensic work. This paper proposes a network analysis algorithm using recurrent neural network that can analyze computer network attacks facilitating the evidence extraction. Proposed algorithm can reduce time and cost of forensic.
Observaciones
Lugar
País
No. de páginas 905-915
Vol. / Cap. Vol. 8, Issue 6
Inicio 2009-01-01
Fin
ISBN/ISSN