The use of artificial immune systems in intrusion detection is an appealing concept for two
reasons. First, the human immune system provides the human body with a high level of …

This review paper attempts to position the area of Artificial Immune Systems (AIS) in a
broader context of interdisciplinary research. We review AIS based on an established …

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 …

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 (DCA) is inspired by recent work in innate immunity. In
this paper a formal description of the DCA is given. The DCA is described in detail, and its …

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 …

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 …

Intrusion detection systems play a significant role in computer security. Artificial immune
systems are the prime contender in developing an anomaly-based intrusion detection …

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 …

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 …