106 search results - page 9 / 22 » Mining Audit Data to Build Intrusion Detection Models |
138
Voted
ALT
2010
Springer
15 years 5 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...
161
Voted
ACSAC
2003
IEEE
15 years 7 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...
144
Voted
ESORICS
2006
Springer
15 years 7 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...
175
Voted
JAIR
2010
14 years 10 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...
149
click to vote
KDD
2004
ACM
16 years 3 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...