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WETICE
2005
IEEE
16 years 11 days ago
Entropy Based Worm and Anomaly Detection in Fast IP Networks
Detecting massive network events like worm outbreaks in fast IP networks, such as Internet backbones, is hard. One problem is that the amount of traffic data does not allow real-t...
Arno Wagner, Bernhard Plattner
MINENET
2005
ACM
16 years 11 days ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
201
Voted
ICCNMC
2005
Springer
16 years 10 days ago
A System for Power-Aware Agent-Based Intrusion Detection (SPAID) in Wireless Ad Hoc Networks
In this paper, we propose a distributed hierarchical intrusion detection system, for ad hoc wireless networks, based on a power level metric for potential ad hoc hosts, which is us...
T. Srinivasan, Jayesh Seshadri, J. B. Siddharth Jo...
DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 10 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
ICIP
2007
IEEE
15 years 10 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen