703 search results - page 18 / 141 » Graph-based anomaly detection |
ACSC
2005
IEEE
14 years 2 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
CSDA
2010
13 years 8 months ago
2010
Abstract: Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph fe...
CLEAR
2006
Springer
14 years 10 days ago
2006
Springer
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
CIDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—Protecting and securing sensitive information are critical challenges for businesses. Deliberate and intended actions such as malicious exploitation, theft or destruction of dat...
Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...