This paper presents a resource limited artificial immune system for data analysis. The work presented here builds upon previous work on artificial immune systems for data analysis. A population control mechanism, inspired by the natural immune system, has been introduced to control population growth and allow termination of the learning algorithm. The new algorithm is presented, along with the ...

A number of works in the field of intrusion detection have been based on Artificial Immune System and Soft Computing. Artificial-Immune-System-based approaches attempt to leverage the adaptability, error tolerance, selfmonitoring and distributed nature of Human Immune Systems. The Soft-Computing-based approaches are instrumental in developing fuzzy-rule-based systems for detecting intrusions. T...

A number of works in the field of intrusion detection have been based on Artificial Immune System and Soft Computing. Artificial Immune System based approaches attempt to leverage the adaptability, error tolerance, selfmonitoring and distributed nature of Human Immune Systems. Whereas Soft Computing based approaches are instrumental in developing fuzzy rule based systems for detecting intrusion...

Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals’ web profiles (alternatively called preferences / favourites / bookmarks file) will be used. URLs will be classified using the DMOZ (Directory Mozilla) database of th...

In the literature, there were many research efforts that utilized the artificial immune networks to model their designed applications, but they were considerably complicated, and restricted to a few areas that such as computer security applications. The objective of this research is to introduce a new model for artificial immune networks that adopts features from other biological successful mod...

This work presents a cost-effective base station deployment model based on artificial immune systems. It uses a multiobjective algorithm based on artificial immune systems (MOAIS) as an optimiser. MO-AIS algorithms are a new class of evolutionary algorithms. The Binary-coded Multi-objective Optimisation Algorithm (BRMOA) is inspired by the clonal selection theory and the immune network theory. ...

Immune systems protect animals from pathogens, so why not apply a similar model to protect computers? Several researchers have investigated the use of an artificial immune system to protect computers from viruses and others have looked at using such a system to detect unauthorized computer intrusions. This paper describes the use of an artificial immune system for another kind of protection: pr...

In a previous paper the authors argue the case for incorporating concepts from innate immunity into Artificial Immune Systems and present an outline for a conceptual framework for such systems. A number of key general properties observed in the biological innate and adaptive immune systems were highlighted, and how such properties might be instantiated in artificial systems was discussed in det...

In this paper a novel method for detection of network attacks and malicious code is described. The method is based on main principles of Artificial Immune Systems where immune detectors have an Artificial Neural Network’s structure. The main goal of proposed approach is to detect unknown, previous unseen cyber attacks (malicious code, intrusion detection, etc.). The mechanism of evolution of th...