106 search results - page 9 / 22 » Mining Audit Data to Build Intrusion Detection Models |
ALT
2010
Springer
15 years 1 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...
121
Voted
ACSAC
2003
IEEE
15 years 3 months 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...
104
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ESORICS
2006
Springer
15 years 3 months 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...
130
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JAIR
2010
14 years 6 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...
109
Voted
KDD
2004
ACM
16 years 2 days 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...