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» Detecting Anomalies in Graphs
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ICCV
2009
IEEE
16 years 9 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
AAAI
2012
13 years 6 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
APNOMS
2006
Springer
15 years 8 months ago
Signature-Aware Traffic Monitoring with IPFIX
Traffic monitoring is essential for accounting user traffic and detecting anomaly traffic such as Internet worms or P2P file sharing applications. Since typical Internet traffic mo...
Youngseok Lee, Seongho Shin, Taeck-Geun Kwon
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
CONEXT
2009
ACM
15 years 5 months ago
Where the sidewalk ends: extending the internet as graph using traceroutes from P2P users
An accurate Internet topology graph is important in many areas of networking, from deciding ISP business relationships to diagnosing network anomalies. Most Internet mapping effor...
Kai Chen, David R. Choffnes, Rahul Potharaju, Yan ...