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» Detecting Anomalies in Graphs
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144
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ICMLA
2003
15 years 5 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
121
Voted
ICNP
1998
IEEE
15 years 8 months 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...
137
Voted
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 3 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
152
Voted
ICCCN
2007
IEEE
15 years 10 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
118
Voted
RAID
2007
Springer
15 years 9 months ago
Swaddler: An Approach for the Anomaly-Based Detection of State Violations in Web Applications
In recent years, web applications have become tremendously popular, and nowadays they are routinely used in security-critical environments, such as medical, financial, and milita...
Marco Cova, Davide Balzarotti, Viktoria Felmetsger...