73 search results - page 4 / 15 » An Unsupervised Clustering Algorithm for Intrusion Detection |
VLDB
2007
ACM
14 years 7 months ago
2007
ACM
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
CCS
2009
ACM
14 years 2 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
DAGSTUHL
2004
13 years 9 months ago
2004
Abstract. The starting point of this work is the definition of local pattern detection given in [10] as the unsupervised detection of local regions with anomalously high data densi...
AI
2008
Springer
14 years 1 months ago
2008
Springer
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
TJS
2010
13 years 5 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...