The use of fault detection and tolerance measures in wireless sensor networks is inevitable
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …

Abstract The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on
the function of natural dendritic cells. The original instantiation of the algorithm is a highly …

The dendritic cell algorithm (DCA) is a classification algorithm based on the functioning of
natural immune dendritic cells. Recently, the DCA has caught the attention of researchers …

As one of the emerging algorithms in the field of artificial immune systems (AIS), the dendritic
cell algorithm (DCA) has been successfully applied to a number of challenging real-world …

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 …

Dendritic cells are the crime scene investigators of the human immune system. Their
function is to correlate potentially anomalous invading entities with observed damage to the …

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have
shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead …

As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a
range of problems, particularly in the area of intrusion detection. Ideally, the intrusion …

This work examines the dendritic cell algorithm (DCA) from a mathematical perspective. By
representing the signal processing phase of the algorithm using the dot product it is shown …

Abstract The area of Artificial Immune Systems (AIS) that bridges immunology, computer
science, engineering and mathematics, has gained great interests in the last decade. One of …