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» Data Mining for Intrusion Detection: Techniques, Application...
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RAID
2009
Springer
15 years 7 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
91
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IDEAL
2005
Springer
15 years 6 months ago
Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
Abstract. The work presented in this paper shows the capability of a connectionist model, based on a statistical technique called Exploratory Projection Pursuit (EPP), to identify ...
Álvaro Herrero, Emilio Corchado, José...
100
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CIDM
2007
IEEE
15 years 20 days ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
16 years 1 months ago
Entity discovery and assignment for opinion mining applications
Opinion mining became an important topic of study in recent years due to its wide range of applications. There are also many companies offering opinion mining services. One proble...
Xiaowen Ding, Bing Liu, Lei Zhang
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...