21 search results - page 2 / 5 » Processing of massive audit data streams for real-time anoma... |
KDD
1998
ACM
13 years 9 months ago
1998
ACM
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
EUROPAR
2006
Springer
13 years 8 months ago
2006
Springer
Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
ICDE
2005
IEEE
14 years 6 months ago
2005
IEEE
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
IEEEARES
2006
IEEE
13 years 11 months ago
2006
IEEE
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...