27 search results - page 1 / 6 » Matrix Factorization Approach for Feature Deduction and Desi... |
IEEEIAS
2008
IEEE
13 years 11 months ago
2008
IEEE
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything...
ASPLOS
2010
ACM
13 years 11 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
KBSE
2005
IEEE
13 years 10 months ago
2005
IEEE
Intrusion detection systems are distributed applications that analyze the events in a networked system to identify malicious behavior. The analysis is performed using a number of ...
NSPW
2004
ACM
13 years 10 months ago
2004
ACM
We argue in favor of the explicit inclusion of suspicion as a concrete concept to be used in the analysis of audit data in order to guide the search for evidence of misuse. Our ap...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
Our demo presents an agent-based intrusion detection system designed for deployment on high-speed backbone networks. The major contribution of the system is the integration of sev...