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» Anomaly Detection Using an Ensemble of Feature Models
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DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
14 years 2 months ago
Experiences on Designing an Integral Intrusion Detection System
Network Intrusion Detection Systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually foll...
Yoseba K. Penya, Pablo Garcia Bringas
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
MLDM
2009
Springer
14 years 2 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
WWW
2010
ACM
14 years 2 months ago
Detection and analysis of drive-by-download attacks and malicious JavaScript code
JavaScript is a browser scripting language that allows developers to create sophisticated client-side interfaces for web applications. However, JavaScript code is also used to car...
Marco Cova, Christopher Krügel, Giovanni Vign...
JAIR
2010
181views more  JAIR 2010»
13 years 2 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton