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ACSC
2005
IEEE
13 years 11 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
CRITIS
2009
13 years 3 months ago
Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection
Abstract. With an increasing demand of inter-connectivity and protocol standardization modern cyber-critical infrastructures are exposed to a multitude of serious threats that may ...
Patrick Düssel, Christian Gehl, Pavel Laskov,...
ICCCN
2007
IEEE
13 years 11 months ago
Fates: A Granular Approach to Real-Time Anomaly Detection
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
Jeff Janies, Chin-Tser Huang
INFOCOM
2010
IEEE
13 years 3 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
ICDCS
2007
IEEE
13 years 11 months ago
Streaming Algorithms for Robust, Real-Time Detection of DDoS Attacks
Effective mechanisms for detecting and thwarting Distributed Denial-of-Service (DDoS) attacks are becoming increasingly important to the success of today’s Internet as a viable ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...