63 search results - page 3 / 13 » Anomaly Detection Through a Bayesian Support Vector Machine |
FI
2010
13 years 5 months ago
2010
: Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown...
CCS
2009
ACM
14 years 3 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
SUTC
2006
IEEE
14 years 2 months ago
2006
IEEE
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
KES
2007
Springer
14 years 2 months ago
2007
Springer
This paper introduces the problems associated with anomaly detection in a marine engine, and explains the benefits that the SAX representation brings to the field. Despite limita...
MM
2003
ACM
14 years 1 months ago
2003
ACM
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...