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SECURWARE
2008
IEEE
14 years 3 months ago
ToLeRating UR-STD
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approac...
Jan Feyereisl, Uwe Aickelin
ISICA
2009
Springer
14 years 3 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
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...
ICC
2007
IEEE
147views Communications» more  ICC 2007»
14 years 3 months ago
A Cooperative AIS Framework for Intrusion Detection
Abstract— We present a cooperative intrusion detection approach inspired by biological immune system principles and P2P communication techniques to develop a distributed anomaly ...
Katja Luther, Rainer Bye, Tansu Alpcan, Achim M&uu...