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» Scalable Intrusion Detection with Recurrent Neural Networks
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WWW
2010
ACM
14 years 2 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
IISWC
2008
IEEE
14 years 1 months ago
A workload for evaluating deep packet inspection architectures
—High-speed content inspection of network traffic is an important new application area for programmable networking systems, and has recently led to several proposals for high-per...
Michela Becchi, Mark A. Franklin, Patrick Crowley
PVLDB
2010
117views more  PVLDB 2010»
13 years 5 months ago
Distance-Based Outlier Detection: Consolidation and Renewed Bearing
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
COMAD
2009
13 years 8 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
CCS
2007
ACM
14 years 1 months ago
Non-intrusive IP traceback for DDoS attacks
The paper describes a Non-Intrusive IP traceback scheme which uses sampled traffic under non-attack conditions to build and maintains caches of the valid source addresses transiti...
Vrizlynn L. L. Thing, Morris Sloman, Naranker Dula...