The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success. Arguably, this was due to these artificial systems being based on too simplistic a view of the immune system. We present here a second generation artificial immune sys...

The vertebrate immune system is a robust and powerful information process system that demonstrates features such as distributed control, parallel processing and adaptation and learning via experience. Artificial Immune Systems (AIS) are machine-learning algorithms that embody some of the principles and attempt to take advantages of the benefits of natural immune systems for use in tackling comp...

During the past decade, there were many approaches that made use of the concepts of artificial immune system. By reviewing the literature, it was found that the research on the artificial immune memory design was sparse and only a few researchers attempted to embark upon issues related to it. This proposed research introduces a novel model that serves as an artificial memory for the artificial ...

The field of Artificial Immune Systems (AIS) is the use of the natural immune system as a metaphor for solving computational problems. A novel unsupervised machine-learning algorithm, inspired by the immune system, has been developed called AINE. Using various immunological metaphors, AINE evolves a network of objects, known as an Artificial Immune Network (AIN) that is a diverse representation...

However we can distinguish three basic recommendation approaches: demographic, contentbased and collaborative [7], they are using many different general reasoning methods know from many other disciplines such as Artificial Intelligence, Expert Systems or Information Retrieval. Recently, the recommender systems also adopt some nature inspired methods such as artificial immune system [4,7]. In th...

1. INTRODUCTION The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or non-self substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical

CLONALG greatly increases the size of its population. We propose a version with reduced population. Our hypothesis is that reducing the number of individuals in a population will decrease the number of evaluations of the objective function, increasing the speed of convergence and reducing the use of data memory. Our proposal uses a population of 5 individuals (antibodies), from which only 15 cl...

For the need of robust and secure functioning of computer systems, advanced computational systems are required, for which Artificial Immune Systems are used. These systems are inspired by the immune system of human body, in humans the immunity system saves the body from external threats. We in this paper would analyze the comparison of networking branches of Artificial Immune System, which buil...

In this position paper, we argue that the field of Artificial Immune Systems (AIS) has reached an impass. For many years, immune inspired algorithms, whilst having some degree of success, have been limited by the lack of theorectical advances, the adoption of a limited immune inspired approach and the limited application of AIS to hard problems.

Genetic algorithms and cellular automata are two computational approaches to model complex adaptive systems. Here is described an immune system simulator that uses a cellular automaton to model the physical environment along with a genetic algorithm to attain adaptation and selection. Agent genetic coding comprised within the genotype is a set of rules which expresses behavior. Moreover, an age...