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» A fuzzy-genetic approach to network intrusion detection
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ACSC
2005
IEEE
15 years 3 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
FLAIRS
2007
14 years 12 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...
SECPERU
2006
IEEE
15 years 3 months ago
Detecting Critical Nodes for MANET Intrusion Detection Systems
Ad hoc routing protocols have been designed to efficiently reroute traffic when confronted with network congestion, faulty nodes, and dynamically changing topologies. The common d...
A. Karygiannis, E. Antonakakis, A. Apostolopoulos
CF
2005
ACM
14 years 11 months ago
SPANIDS: a scalable network intrusion detection loadbalancer
Network intrusion detection systems (NIDS) are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can lim...
Lambert Schaelicke, Kyle Wheeler, Curt Freeland
DSN
2009
IEEE
14 years 7 months ago
RRE: A game-theoretic intrusion Response and Recovery Engine
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
Saman A. Zonouz, Himanshu Khurana, William H. Sand...