531 search results - page 6 / 107 » Unsupervised learning techniques for an intrusion detection ... |
AUSFORENSICS
2004
13 years 8 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...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existin...
ACSAC
1999
IEEE
13 years 11 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
SP
2010
IEEE
13 years 10 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...
ICANN
2005
Springer
14 years 6 days ago
2005
Springer
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...