251 search results - page 4 / 51 » Using Rough Set and Support Vector Machine for Network Intru... |
122
Voted
CONEXT
2007
ACM
15 years 4 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
128
Voted
SDM
2004
SIAM
15 years 4 months ago
2004
SIAM
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
127
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
143
Voted
CCS
2009
ACM
15 years 9 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 ...
149
Voted
JSS
2002
15 years 2 months ago
2002
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...