255 search results - page 47 / 51 » Timing Anomalies Reloaded |
TON
2010
13 years 2 months ago
2010
Abstract--After the seminal work by Taqqu et al. relating selfsimilarity to heavy-tailed distributions, a number of research articles verified that aggregated Internet traffic time...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
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 ...