Please use this identifier to cite or link to this item:
Type: Artigo de evento
Title: Anomaly Detection For Network Servers Using Digital Signature Of Network Segment
Author: Proenca Jr. M.L.
Zarpelao B.B.
Mendes L.S.
Abstract: Network anomaly detection is essential for rapid fault recovery and increasing network reliability. This paper presents results of the utilization of digital signature of network segments (DSNS) for network servers to characterize the traffic that flow through the network servers. It's also presented an alarm system model that use the network servers' traffic characterization generated by DSNS. The obtained results validate the experiment and show in practice significant advantages in networks management. © 2005 IEEE.
Rights: fechado
Identifier DOI: 10.1109/AICT.2005.26
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

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