Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

In recent years, the application of Advanced Manufacturing Technologies (AMT) in industrial
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …

Research in anomaly detection suffers from a lack of realistic and publicly-available problem
sets. This paper discusses what properties such problem sets should possess. It then …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

Artificial immune systems are a collection of algorithms inspired by the human immune
system. Over the past 15 years, extensive research has been performed regarding the …

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 …

This article provides a thorough meta-analysis of the anomaly detection problem. To
accomplish this we first identify approaches to benchmarking anomaly detection algorithms …

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. Research …

In most applications, anomaly detection operates in an unsupervised mode by looking for
outliers hoping that they are anomalies. Unfortunately, most anomaly detectors do not come …

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 …