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» A Deployment Value Model for Intrusion Detection Sensors
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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 years 11 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
ETFA
2006
IEEE
15 years 3 months ago
Verification of The Minimum Cost Forwarding Protocol for Wireless Sensor Networks
Wireless sensor networks (WSN) consist of small self-contained devices with computational, sensing and wireless communication capabilities. They allow flexible, powerful, tetherles...
William D. Henderson, Steven Tron
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 6 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
ISM
2005
IEEE
159views Multimedia» more  ISM 2005»
15 years 5 months ago
Avatar-centric Risk Evaluation
Hazard detection and prevention of natural and manmade disasters at critical civil infrastructure is becoming increasingly important. Recent events, such as earthquakes and terror...
Maria-Cruz Villa-Uriol, Falko Kuester, Oscar Garc&...
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 5 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...