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» A Compound Intrusion Detection Model
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ACMSE
2005
ACM
13 years 9 months ago
Simulating application level self-similar network traffic using hybrid heavy-tailed distributions
Many networking researches depend on an accurate simulation of network traffic. For example, Intrusion Detection Systems generally require tuning to be effective in each new envir...
Song Luo, Gerald A. Marin
TISSEC
2008
202views more  TISSEC 2008»
13 years 7 months ago
A Framework for Identifying Compromised Nodes in Wireless Sensor Networks
compromised sensor nodes. The framework provides an appropriate abstraction of applicationspecific detection mechanisms and models the unique properties of sensor networks. Based o...
Qing Zhang, Ting Yu, Peng Ning
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 7 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
NDSS
2009
IEEE
14 years 2 months ago
RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows
Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows but requires long periods of observation to r...
Amir Houmansadr, Negar Kiyavash, Nikita Borisov
CN
2007
91views more  CN 2007»
13 years 7 months ago
Improving the quality of alerts and predicting intruder's next goal with Hidden Colored Petri-Net
Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder’s next lik...
Dong Yu, Deborah A. Frincke