INVESTIGADORES
ZUNINO SUAREZ Alejandro Octavio
artículos
Título:
Survey on Network-based Botnet Detection Methods (Indexed SCI, IF JCR2014=0.720)
Autor/es:
GARCIA, S.; ZUNINO, A.; CAMPO, M.
Revista:
SECURITY AND COMMUNICATION NETWORKS
Editorial:
JOHN WILEY & SONS LTD
Referencias:
Lugar: Londres; Año: 2014 vol. 7 p. 878 - 878
ISSN:
1939-0114
Resumen:
Botnets are an important security problem on the Internet. They continuously evolve their structure, protocols and attacks. This survey analyzes and compares the most important efforts carried out in a network-based detection area. It accomplishes four tasks: first, the comparison of previous surveys and the proposal of four new dimensions to analyze their classification schemes; second, a new classification and comparison of network-based botnet detection proposals, which includes the definition of 20 desired properties of every botnet detection paper; third, an extensive comparison between the most representative detection proposals; and fourth, the description of the most important problems and highlights in the area. We conclude that the area has achieved great advances so far, but there are still many open problems.
rds']