In recent years, there has been a growth of investigation into the use of the mammalian immune system as a source of inspiration and metaphor for computational tasks. One avenue of this investigation has been the exploration of the learning capabilities demonstrated by these biological systems. A second appealing aspect of biological immune systems is their inherent distributedness. This paper ...

Distributed system as e.g. artificial immune systems, complex adaptive systems, or multi-agent systems are widely used in Computer Science, e.g. for network security, optimisations, or simulations. In these systems, small entities move through the network and perform certain tasks. At some time, the entities move to another place and require therefore information where to move is most profitabl...

In view of new communication and information technologies that appeared with the emergence of networks and Internet, the computer security became a major challenge, and works in this research axis are increasingly numerous. Various tools and mechanisms are developed in order to guarantee a safety level up to the requirements of modern life. Among them, intrusion detection and prevention systems...

The threats and intrusions in IT systems can basically be compared to human diseases with the difference that the human body has an effective way to deal with them, what still need to be designed for IT systems. The human immune system (HIS) can detect and defend against yet unseen intruders, is distributed, adaptive and multilayered to name only a few of its features. Our immune system incorpo...

Over the past five years, within The University of Kent’s Computing Laboratory, a group has emerged that is investigating the natural immune system as inspiration for computation. The group has established itself as one of the world leaders in the field of Artificial Immune Systems (AIS), through their work on extracting immunological metaphors for applications in machine learning, optimisation...

One of the central challenges with computer security is determining the difference between normal and potentially harmful activity. For decades, developers have protected their systems using classical methods. However, the growth and complexity of computer systems or networks to protect require the development of automated and adaptive defensives tools. Promising solutions are emerging with bio...

As mobile devices become increasingly more powerful and important in everyday life, the need for efficient and effective detection of mobile malware has become pressing. We developed a multi-detector set Artificial Immune System (mAIS) to classify apps into benign and malicious categories based upon information flows within the app. The performance of mAIS has been compared with the performance...

The automatic diagnosis of breast cancer is an important, real-world medical problem. In this paper we give an introduction to fuzzy systems, genetic algorithms and artificial immune system, and then we introduce a hybrid algorithm that gathers the genetic algorithms with the artificial immune system in one algorithm. The genetic algorithm, the artificial immune system and the hybrid algorithm ...

The acquired immune system of mammals (such as humans, mice, rats, and cattle) is the most studied immune system. Taking a quick look at the ‘tree of life’ reveals that this intensely studied system belongs to a very small minority of taxa, the jawed vertebrates, raising the question: why did this system evolve when all other plants and animals survive without it? This work reviews some of the ...