188 search results - page 34 / 38 » Anomaly Detection Using the Dempster-Shafer Method |
ASPLOS
2010
ACM
14 years 2 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
CSFW
2009
IEEE
14 years 2 months ago
2009
IEEE
—As networked systems grow in complexity, they are increasingly vulnerable to denial-of-service (DoS) attacks involving resource exhaustion. A single malicious input of coma can ...
IMC
2006
ACM
14 years 1 months ago
2006
ACM
While the problem of analyzing network traffic at the granularity of individual connections has seen considerable previous work and tool development, understanding traffic at a ...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...