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» On Detecting Clustered Anomalies Using SCiForest
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ISI
2007
Springer
14 years 4 months ago
Detecting Anomalies in Graphs
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...
David B. Skillicorn
CORR
2008
Springer
192views Education» more  CORR 2008»
13 years 8 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 4 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
RAID
2004
Springer
14 years 3 months ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...
SASN
2003
ACM
14 years 3 months ago
A cooperative intrusion detection system for ad hoc networks
Mobile ad hoc networking (MANET) has become an exciting and important technology in recent years because of the rapid proliferation of wireless devices. MANETs are highly vulnerab...
Yi-an Huang, Wenke Lee