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» Detecting Anomalies and Intruders
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IMC
2007
ACM
13 years 9 months ago
A data streaming algorithm for estimating entropies of od flows
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
Haiquan (Chuck) Zhao, Ashwin Lall, Mitsunori Ogiha...
UAI
2008
13 years 8 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
ICPR
2010
IEEE
13 years 7 months ago
The Binormal Assumption on Precision-Recall Curves
—The precision-recall curve (PRC) has become a widespread conceptual basis for assessing classification performance. The curve relates the positive predictive value of a classi...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
EOR
2008
90views more  EOR 2008»
13 years 7 months ago
Quality of service statistics over heterogeneous networks: Analysis and applications
Heterogeneous wireless/wired networks and ubiquitous environments are gaining ever more attention by research community. To properly control and manage such puzzles a deep knowled...
Alessio Botta, Antonio Pescapè, Giorgio Ven...
SIGMETRICS
2008
ACM
13 years 7 months ago
Long range mutual information
Network traffic modeling generally views traffic as a superposition of flows that creates a timeseries of volume counts (e.g. of bytes or packets). What is omitted from this view ...
Nahur Fonseca, Mark Crovella, Kavé Salamati...