An integrated internet of everything — Genetic algorithms controller — Artificial neural networks framework for security/safety systems management and support

Abstract

Security/Safety is managed, mostly, by means of integrated systems which have to consider, more and more, sensors, devices, cameras, mobile terminals, wearable devices, etc. that use wireless networks, to ensure protection of people and/or tangible/intangible assets from voluntary attacks, allowing also the safe management of the related consequent emergency situations that can derive from the above mentioned voluntary attacks. These aims can be achieved using integrated systems and innovative technologies, such as Internet of Everything (IoE) which can connect people, things (mobile terminals, smart sensors, devices, actuators; wearable devices; etc.), data/information/knowledge and particular processes. An integrated security system can therefore be considered as an IoE system where several devices, sensors, cameras, people, etc. interact, generating a huge volume of data and information that is necessary to transmit, analyze and eventually store for security purposes and, ultimately, for emergency management derived from voluntary attacks. This means that it is necessary to use suitable tools capable of analyzing, in a smart way, the huge volume of information to achieve the desired security/safety objectives and eventual emergency management of critical situations. The purpose of the paper is to illustrate an integrated IoE-GACs-ANNs based framework which can support and manage security/safety systems that operate in complex environments, characterized by a multitude of sensors, devices, etc. and the related results obtained from theoretical, computational and practical point of view, where it has been applied.