DocumentCode
1891007
Title
A fast method for real-time anomaly detection using routing statistics
Author
Booker, Graham
Author_Institution
Texas A&M Univ., College Station, TX
fYear
2008
fDate
13-18 April 2008
Firstpage
1
Lastpage
3
Abstract
The detection of network anomalies is an important tool for network managers and service providers. Network anomalies can indicate the onset of a new virus or a directed malicious attack. In this paper, we present a fast method for detecting network anomalies at a router. Our algorithm can be easily integrated into a router´s preexisting firmware with minimum modifications. In addition, its low memory and CPU requirements facilitate real-time anomaly detection.
Keywords
security of data; telecommunication network routing; telecommunication security; malicious attack; network anomaly detection; real-time anomaly detection; routing statistics; Communication networks; Costs; IP networks; Microprogramming; Payloads; Quality of service; Routing; Statistics; Telecommunication traffic; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM Workshops 2008, IEEE
Conference_Location
Phoenix, AZ
Print_ISBN
978-1-4244-2219-7
Type
conf
DOI
10.1109/INFOCOM.2008.4544604
Filename
4544604
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