Anomaly detection for network servers using digital signature of network segment

Author

Proenca, Mario Lemes, Jr. ; Zarpelao, B.B. ; Mendes, Leonardo S.

fYear

2005

fDate

17-20 July 2005

Firstpage

290

Lastpage

295

Abstract

Network anomaly detection is essential for rapid fault recovery and increasing network reliability. The paper presents results of the utilization of the digital signatures of network segments (DSNS) for network servers to characterize the traffic that flows through the network servers. An alarm system model is also presented that uses the network servers´ traffic characterization generated by DSNS. The obtained results validate the experiment and show, in practice, significant advantages in network management.

Keywords

computer network management; computer network reliability; network servers; telecommunication traffic; digital signature of network segment; fault recovery; network anomaly detection; network management; network reliability; network servers; traffic characterization; Alarm systems; Character generation; Communication system traffic control; Digital signatures; Fault detection; Hardware; Network servers; Proposals; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications, 2005. advanced industrial conference on telecommunications/service assurance with partial and intermittent resources conference/e-learning on telecommunications workshop. aict/sapir/elete 2005. proceedings

Print_ISBN

0-7695-2388-9

Type

conf

DOI

10.1109/AICT.2005.26

Filename

1517644