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

The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

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 …

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 …

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 …

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 …

After decades of deploying cyber security systems, it is a well-known fact that the existing
cyber infrastructure has numerous inherent limitations that make the maintenance of the …

A static job shop scheduling problem (JSSP) is a class of JSSP which is a combinatorial
optimization problem with the assumption of no disruptions and previously known …

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 …