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...

This paper explores Time Dependent Optimization (Tdo) as a measure of adaptiveness in artificial systems. We first discuss this choice and review classical Tdo models to propose a canonic benchmark. Then, we underline the central role of diversity in adaptive dynamics for biological and cybernetic systems and illustrate by a state of the art of evolutionary Tdo (Etdo). A Simple Artificial Immun...

The assurance of security within a network is difficult due to the variations of attacks. This research conducts various experiments to implement an Artificial Immune System based Intrusion Detection System to identify intrusions using the Negative Selection Algorithm. This research explores the implementation of an Artificial Immune System opposed to the industry standard of machine learning. ...

Natural immune system is a complex of cells, tissues and organs that work together to protect the host against foreign invaders' attacks. Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, motivated by the natural immune pri...

--This paper presents the genetic algorithm approach to adaptive optimal economic dispatch of Electrical Power Systems. Artificial Immune System Algorithms, also termed as the machine learning approach to Artificial Intelligence, are powerful stochastic optimization techniques with potential features of random search, hill climbing, statistical sampling and competition. Artificial immune system...

Previous work suggests that innate immunity and representations of tissue can be useful when combined with artificial immune systems. Here we provide a new implementation of tissue for artificial immune systems using systemic computation, a new model of computation and corresponding computer architecture based on a systemics world-view and supplemented by the incorporation of natural characteri...

Today traditional intrusion detection systems are unable to detect intrusion attacks. Huge number of false alarm generated by the system results in financial loss of an organization. The unique features of artificial immune system encourage and motivate the researchers to employ this technique in variety of applications and especially in intrusion detection systems. Recently Artificial immune s...

This study presents a new artificial immune system for classification. It was named discrimination-based artificial immune system (DAIS) and was based on the principle of self and non-self discrimination by T cells in the human immune system. Ability of a natural immune system to distinguish between self and non-self molecules was applicable for classification in a way that one class was distin...