Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

The use of artificial immune systems in intrusion detection is an appealing concept for two
reasons. First, the human immune system provides the human body with a high level of …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

Security is oftentimes centrally managed. An alternative trend of using collaboration in order
to improve security has gained momentum over the past few years. Collaborative security is …

The use of fault detection and tolerance measures in wireless sensor networks is inevitable
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …

This paper presents a novel conceptual framework for an integrated set of methodologies for
the detection, identification, and evaluation of a wide variety of failures of aircraft subsystems …

The pervasiveness of the computing power has made it an inevitable commodity of the
modern time. The inexorable technological advances clearly predict the continually …

IN RECENT years, the need for a solution to the failure detection, identification, and
evaluation (FDIE) problem for aerospace vehicles that includes all subsystems over the …

This paper introduces a hybrid model for network intrusion detection that combines artificial
immune system methods with conventional information security methods. The Network …