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» Intrusion Detection for Distributed Applications
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 10 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 9 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...
WWW
2010
ACM
14 years 4 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
IEEEARES
2009
IEEE
14 years 4 months ago
Investigating the Implications of Virtual Machine Introspection for Digital Forensics
— Researchers and practitioners in computer forensics currently must base their analysis on information that is either incomplete or produced by tools that may themselves be comp...
Kara L. Nance, Brian Hay, Matt Bishop
EUROSEC
2009
ACM
14 years 4 months ago
WISDOM: security-aware fibres
The network is becoming faster day by day. High-speed links, of many Gbps, are considered as commodity technology empowering the Internet. On the other hand, Moore’s law still a...
Elias Athanasopoulos, Antonis Krithinakis, Georgio...