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IWSOS
2007
Springer
14 years 2 months ago
Collaborative Anomaly-Based Attack Detection
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
Thomas Gamer, Michael Scharf, Marcus Schöller
ICMLA
2003
13 years 10 months ago
Robust Support Vector Machines for Anomaly Detection in Computer Security
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
Wenjie Hu, Yihua Liao, V. Rao Vemuri
ICNP
1998
IEEE
14 years 28 days ago
Statistical Anomaly Detection for Link-State Routing Protocols
The JiNao project at MCNC/NCSU focuses on detecting intrusions, especially insider attacks, against OSPF (Open Shortest Path First) routing protocol. This paper presents the imple...
D. Qu, Brain Vetter, Feiyi Wang, R. Narayan, Shyht...
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 8 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
SEC
2008
13 years 10 months ago
Anomaly Detection with Diagnosis in Diversified Systems using Information Flow Graphs
Design diversity is a well-known method to ensure fault tolerance. Such a method has also been applied successfully in various projects to provide intrusion detection and tolerance...
Frédéric Majorczyk, Eric Totel, Ludo...