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IMC
2010
ACM
13 years 2 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
ISDA
2010
IEEE
13 years 2 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
LISA
2007
13 years 7 months ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 11 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
IJNSEC
2008
117views more  IJNSEC 2008»
13 years 4 months ago
Wavelet-based Real Time Detection of Network Traffic Anomalies
Real time network monitoring for intrusions is offered by various host and network based intrusion detection systems. These systems largely use signature or pattern matching techni...
Chin-Tser Huang, Sachin Thareja, Yong-June Shin