776 search results - page 1 / 156 » An Application of Machine Learning to Network Intrusion Dete... |
SP
2010
IEEE
13 years 11 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...
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...
IDEAL
2010
Springer
13 years 6 months ago
2010
Springer
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
CN
2007
13 years 7 months ago
2007
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...