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

During the last decade, the field of artificial immune system (A1S) is progressing slowly and
steadily as a branch of computational intelligence (CI). There has been increasing interest in …

Clearly, nature has been very effective in creating organisms that are capable of protecting
themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The …

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 …

For the last two decades, artificial immune systems have been studied in various fields of
knowledge. They were shown to be particularly effective tools at detecting anomalous …

The human immune system has numerous properties that make it ripe for exploitation in the
computational domain, such as robustness and fault tolerance, and many different …

The immune system provides an ideal metaphor for anomaly detection in general and
computer securities in particular. Based on this idea, artificial immune systems have been …

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant
data. Here we propose it as a possible solution for a robotic classification problem. The …

There is a list of unique immune features that are currently absent from the existing artificial
immune systems and other intelligent paradigms. We argue that some of AIS features can be …

This thesis explores the design and application of artificial immune systems (AISs), problem-
solving systems inspired by the human and other immune systems. AISs to date have largely …