The evolution of the web server contents and the emergence of new kinds of intrusions make necessary the adaptation of the intrusion detection systems (IDS). Nowadays, the adaptation of the IDS requires manual – tedious and unreactive – actions from system administrators. In this paper, we present a self-adaptive intrusion detection system which relies on a set of local model-based diagnosers. ...

To provide some levels of dependency in software systems, self-adaptive systems have been proposed as a principled approach to engineering software systems to adapt systems to meet requirements even in the face of changes and uncertainty in the environment. But how can we show that changing a system at run time will make systems more dependable? In this keynote, I will outline a set of challeng...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

In this paper, a novel self-adaptive fuzzy learning (SAFL) system is proposed for streaming data prediction. SAFL self-learns from streams predictive model composed of set prototype-based rules, with each which representing certain local distribution, and continuously self-evolves to follow the changing patterns in non-stationary environments. Unlike conventional evolving systems, both inferenc...

this paper presents fuzzy and conventional performance of model reference adaptive control(mrac) to control a dc drive. the aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. the operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

Complex systems have been studied by researchers from every discipline: biology, chemistry, physics, sociology, mathematics and economics and more. Depending upon the discipline, complex systems theory has accrued many flavors. We are after a formal representation, a model that can predict the outcome of a complex adaptive system (CAS). In this article, we look at the nature of complexity, then...

The physical interpretation of the functioning adaptive immune system, which has been thoroughly characterized on genetic and molecular levels, provides a unique opportunity to define an self-organizing biological system in its entirety. This paper describes configuration space model function, where directed chemical potentials constitute interactions. In sense, humoral adjusts potential all av...

Self-adaptivity allows software systems to autonomously adjust their behavior during run-time to reduce the cost complexities caused by manual maintenance. In this paper, a framework for building an external adaptation engine for self-adaptive software systems is proposed. In order to improve the quality of selfadaptive software systems, this research addresses two challenges in self-adaptive s...