201 search results - page 23 / 41 » Active learning for network intrusion detection |
NDSS
2005
IEEE
14 years 4 months ago
2005
IEEE
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
IMC
2009
ACM
14 years 5 months ago
2009
ACM
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
ICCCN
2007
IEEE
14 years 4 months ago
2007
IEEE
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
IPCCC
2006
IEEE
14 years 4 months ago
2006
IEEE
Considerable research has been done on detecting and blocking portscan activities that are typically conducted by infected hosts to discover other vulnerable hosts. However, the f...