201 search results - page 1 / 41 » Active learning for network intrusion detection |
CCS
2009
ACM
13 years 11 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 ...
SP
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
AUSFORENSICS
2004
13 years 5 months ago
2004
The Snort intrusion detection system is a widely used and well-regarded open sourcesystem used for the detection of malicious activity in conventional wired networks. Recently, so...
ECBS
2007
IEEE
13 years 6 months ago
2007
IEEE
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
ICAI
2008
13 years 5 months ago
2008
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...