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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 8 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
ISVC
2007
Springer
14 years 2 months ago
A Scalable Aural-Visual Environment for Security Event Monitoring, Analysis, and Response
Abstract. Intrusion detection systems gather large quantities of host and network information in an attempt to detect and respond to attacks against an organization. The widely var...
Paul Z. Kolano
ICASSP
2011
IEEE
12 years 12 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
TIFS
2008
142views more  TIFS 2008»
13 years 8 months ago
An FPGA-Based Network Intrusion Detection Architecture
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
AAAI
2006
13 years 9 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...