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SGAI
2007
Springer
14 years 2 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
LISA
2000
13 years 10 months ago
Aberrant Behavior Detection in Time Series for Network Monitoring
The open-source software RRDtool and Cricket provide a solution to the problem of collecting, storing, and visualizing service network time series data for the real-time monitorin...
Jake D. Brutlag
HSNMC
2004
Springer
106views Multimedia» more  HSNMC 2004»
14 years 2 months ago
Performance Evaluation of a Probabilistic Packet Filter Optimization Algorithm for High-Speed Network Monitoring
Because of the ever-increasing popularity of the Internet, network monitoring becomes very mission critical to guarantee the operation of IP networks, e.g. to detect network failur...
Jan Coppens, Stijn De Smet, Steven Van den Berghe,...
MASCOTS
2007
13 years 10 months ago
Improving the Performance of Passive Network Monitoring Applications using Locality Buffering
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
Antonis Papadogiannakis, Demetres Antoniades, Mich...
SIGCOMM
2010
ACM
13 years 9 months ago
NetShield: massive semantics-based vulnerability signature matching for high-speed networks
Accuracy and speed are the two most important metrics for Network Intrusion Detection/Prevention Systems (NIDS/NIPSes). Due to emerging polymorphic attacks and the fact that in ma...
Zhichun Li, Gao Xia, Hongyu Gao, Yi Tang, Yan Chen...