Title
Spatio-temporal network anomaly detection by assessing deviations of empirical measures
Abstract
We introduce an Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. We present two different approaches to characterize traffic: (i) a model-free approach based on the method of types and Sanov's theorem, and (ii) a model-based approach modeling traffic using a Markov modulated process. Using these characterizations as a reference we continuously monitor traffic and employ large deviations and decision theory results to "compare" the empirical measure of the monitored traffic with the corresponding reference characterization, thus, identifying traffic anomalies in real-time. Our experimental results show that applying our methodology (even short-lived) anomalies are identified within a small number of observations. Throughout, we compare the two approaches presenting their advantages and disadvantages to identify and classify temporal network anomalies. We also demonstrate how our framework can be used to monitor traffic from multiple network elements in order to identify both spatial and temporal anomalies. We validate our techniques by analyzing real traffic traces with time-stamped anomalies.
Year
DOI
Venue
2009
10.1109/TNET.2008.2001468
IEEE/ACM Trans. Netw.
Keywords
Field
DocType
Telecommunication traffic,Traffic control,Intrusion detection,Decision theory,Power engineering and energy,Systems engineering and theory,Internet,Markov processes,Computerized monitoring,Instruments
Anomaly detection,Data mining,Markov process,Computer science,Network security,Markov chain,Large deviations theory,Empirical measure,Intrusion detection system,Internet traffic
Journal
Volume
Issue
ISSN
17
3
1063-6692
Citations 
PageRank 
References 
33
1.58
19
Authors
3
Name
Order
Citations
PageRank
ioannis ch paschalidis124125.29
Georgios Smaragdakis264744.52
PaschalidisIoannis Ch.318917.38