DocumentCode :
3713233
Title :
Traffic anomaly detection and DDOS attack recognition using diffusion map technologies
Author :
Michael Zheludev;Evgeny Nagradov
Author_Institution :
Orator Labs, Moscow, Russia
fYear :
2015
Firstpage :
128
Lastpage :
132
Abstract :
This paper provides a method of mathematical representation of the traffic flow of network states. Anomalous behavior in this model is represented as a point, not grouped in clusters allocated by the "alpha-stream" process.
Keywords :
"Measurement","Training","Geometry","Clustering algorithms","Classification algorithms","Computer crime","Telecommunication traffic"
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technologies (CSIT), 2015
Type :
conf
DOI :
10.1109/CSITechnol.2015.7358265
Filename :
7358265
Link To Document :
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