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CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 4 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 4 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
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 4 months ago
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms
The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation ...
Julie Greensmith, Jan Feyereisl, Uwe Aickelin
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
13 years 10 months ago
Dendritic cells for SYN scan detection
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Julie Greensmith, Uwe Aickelin
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 4 months ago
Dendritic Cells for Real-Time Anomaly Detection
Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the ystem. The behaviour of human DCs is abstracted to form an algorithm suitable...
Julie Greensmith, Uwe Aickelin