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» Temporal Outlier Detection in Vehicle Traffic Data
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KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 3 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
ECCV
2008
Springer
15 years 11 months ago
Multi-layered Decomposition of Recurrent Scenes
Abstract. There is considerable interest in techniques capable of identifying anomalies and unusual events in busy outdoor scenes, e.g. road junctions. Many approaches achieve this...
David Mark Russell, Shaogang Gong
DIMVA
2008
14 years 11 months ago
Traffic Aggregation for Malware Detection
Abstract. Stealthy malware, such as botnets and spyware, are hard to detect because their activities are subtle and do not disrupt the network, in contrast to DoS attacks and aggre...
Ting-Fang Yen, Michael K. Reiter
IMC
2010
ACM
14 years 7 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
15 years 4 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani