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SEC
2008
14 years 11 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...
CCS
2004
ACM
15 years 3 months ago
Gray-box extraction of execution graphs for anomaly detection
Debin Gao, Michael K. Reiter, Dawn Xiaodong Song
CSDA
2010
124views more  CSDA 2010»
14 years 10 months ago
Statistical inference on attributed random graphs: Fusion of graph features and content
Abstract: Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph fe...
John Grothendieck, Carey E. Priebe, Allen L. Gorin
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
15 years 10 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
SP
2003
IEEE
107views Security Privacy» more  SP 2003»
15 years 3 months ago
Anomaly Detection Using Call Stack Information
The call stack of a program execution can be a very good information source for intrusion detection. There is no prior work on dynamically extracting information from call stack a...
Henry Hanping Feng, Oleg M. Kolesnikov, Prahlad Fo...