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» An Effective Anomaly Detection Method in SMTP Traffic
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SIGMETRICS
2008
ACM
13 years 8 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...
BROADNETS
2006
IEEE
14 years 2 months ago
A Statistical Approach to Anomaly Detection in Interdomain Routing
Abstract— A number of events such as hurricanes, earthquakes, power outages can cause large-scale failures in the Internet. These in turn cause anomalies in the interdomain routi...
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Bip...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 2 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
ICMLA
2010
13 years 6 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
ISMIS
2005
Springer
14 years 2 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni