106 search results - page 9 / 22 » Mining Audit Data to Build Intrusion Detection Models |
ALT
2010
Springer
13 years 10 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
ACSAC
2003
IEEE
14 years 13 days ago
2003
IEEE
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
ESORICS
2006
Springer
14 years 13 days ago
2006
Springer
IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and...
JAIR
2010
13 years 3 months ago
2010
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...