Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing.
Biological models of the natural immune system, in particular the theories of clonal selection …

The immune system is a complex system which protects humans and animals against
diseases caused by foreign intruders such as viruses, bacteria and fungi. It appears as if the …

In the context of generating detectors using the r-contiguous matching rule, questions have
been raised at the efficiency of the process. We show that the problem of generating r …

The problem of generating r-contiguous detectors in negative selection can be transformed
in the problem of finding assignment sets for a Boolean formula in k-CNF. Knowing this …

Negative selection and the associated r-contiguous matching rule is a popular immune-
inspired method for anomaly detection problems. In recent years, however, problems such …

MANET is characterised by a set of mobile nodes in an inherently insecure environment,
having limited battery capacities. Provisioning of energy efficient security in MANETs is …

ABSTRACT Artificial Immune System (AIS) is a naive paradigm in biologically inspired
computation; artificial neural networks (ANNs) and genetic algorithms (GAs) are among …

All the materials used in the construction of historical buildings undergo deterioration when
exposed to aggressive environments. The rate and symptoms of such a process is …

Artificial immune systems (AISs) are being increasingly utilized to develop network intrusion
detection (NID) systems. The fundamental reason for their success in NID is their ability to …

The number of reported incidents on local area networks (LANs) and further on individual
computer systems are continually increasing since mid of the last decade. The governments …