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» Intrusion Detection with Neural Networks
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
14 years 8 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
ICSE
2008
IEEE-ACM
14 years 8 months ago
LISABETH: automated content-based signature generator for zero-day polymorphic worms
Modern worms can spread so quickly that any countermeasure based on human reaction might not be fast enough. Recent research has focused on devising algorithms to automatically pr...
Lorenzo Cavallaro, Andrea Lanzi, Luca Mayer, Matti...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 2 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
HOTI
2008
IEEE
14 years 2 months ago
Constraint Repetition Inspection for Regular Expression on FPGA
— Recent network intrusion detection systems (NIDS) use regular expressions to represent suspicious or malicious character sequences in packet payloads in a more efficient way. ...
Miad Faezipour, Mehrdad Nourani