Towards a Security, Privacy, Dependability, Interoperability Framework for the Internet of Things

A popular application of ambient intelligence systems constitutes of assisting living services on smart buildings. As intelligence is imported in embedded equipment, the system becomes able to provide smart services (e.g. control lights, airconditioning, provide energy management services etc.). IoT is the main enabler of such environments. However, the interconnection of these cyber-physical systems and the processing of personal data raise serious security and privacy issues. In this paper we present a framework that can guarantee Security, Privacy, Dependability and Interoperability (SPDI) in IoT. Taking advantage of the underlying IoT deployment, the proposed framework not only implements the requested smart functionality but also provide modelling and administration that can guarantee those SPDI properties. Moreover, we provide an application example of the framework in a smart building scenario

A pattern-based approach for designing reliable cyber-physical systems

Cyber-Physical Systems (CPS) appear to be of paramount importance due to their increasing use on critical infrastructure. New challenges have occurred because of the nature and the complexity of such systems in supporting heterogeneous physical and cyber components simultaneously. Failures or attacks on system components decrease system reliability creating severe consequences to CPS and the attached applications. The construction of complex CPS with respect to security and dependability (SandD) properties is necessary to avoid system vulnerabilities at design level. Design patterns are solutions for reusable designs and interactions of objects. In this work we present a pattern-based language for designing CPS able to guarantee SandD properties. The first set of SandD patterns includes the Reliability Component Composition (RCC) Patterns for designing reliable CPS. RCC patterns are encoded in Drools, which is a rule-based reasoning system. To evaluate our approach, we use RCC patterns as a methodology for designing a reliable wireless sensor network attached to a physical architecture to send monitored data to a central controller through relay nodes and paths

A Rapid Emergency Deployment mobile communication node

In an Emergency and/or Crisis Situations (ECS) like earthquakes, floods, tsunamis, fires, terrorist attacks etc. the adequate operation of communication services is of extreme importance. History has shown that poor communication in such cases resulted in several casualties. In ECS fixed communication infrastructure might be unserviceable due to sustained damages. Evermore, the communication demand is highly increased in such cases resulting in poor quality of service as both civilians and authorities are trying to establish communications. In this paper, a Rapid Emergency Deployment mobile Communication (REDComm) node is presented. REDComm nodes include wireless communication technologies, to provide various telecommunication services in ECS and interoperability between them. It incorporates an 802.11a mesh cognitive radio technology that operates in the television broadcasting frequency bands to provide a backbone networking with increased range and flexibility. REDComm is constructed upon a trailer chassis able to minimize setup time, which is valuable in ECS. The presented platform is powered by a hybrid power source that combines thermal, solar and wind energy and eliminates the need for external power supply

Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of “Looping Smart Assets”

The increase in the world’s population has led to a massive rise in human consumption of the planet’s natural resources, well beyond their replacement rate. Traditional recycling concepts and methods are not enough to counter such effects. In this context, a circular economy (CE), that is, a restorative and regenerative by-design economy, can reform today’s “take–make–dispose” economic model. On the other hand, the Internet of Things (IoT) continues to gradually transform our everyday lives, allowing for the introduction of novel types of services while enhancing legacy ones. Taking this as our motivation, in this article we analyze the CE/IoT interplay, indicating innovative ways in which this interaction can drastically affect products and services, their underlying business models, and the associated ecosystems. Moreover, we present an IoT architecture that enables smart object integration into the IoT ecosystem. The presented architecture integrates circularityenabling features by maximizing the exploitation of assets toward a new type of IoT ecosystem that is circular by design (CbD). Finally, we provide a proof-of-concept implementation and an application study of the proposed architecture and results regarding the applicability of the proposed approach for the telecommunications (telecom) sector

IDEAL-CITIES: A Trustworthy and Sustainable Framework for Circular Smart Cities

Reflecting upon the sustainability challenges cities will be facing in the near future and the recent technological developments allowing cities to become "smart", we introduce IDEAL-CITIES; a framework aiming to provide an architecture for cyber-physical systems to deliver a datadriven Circular Economy model in a city context. In the IDEALCITIES ecosystem, the city's finite resources as well as citizens will form the pool of intelligent assets in order to contribute to high utilization through crowdsourcing and real-time decision making and planning. We describe two use cases as a vehicle to demonstrate how a smart city can serve the Circular Economy paradig

NextGEM: Next-Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health

The evolution of emerging technologies that use Radio Frequency Electromagnetic Field (RF-EMF) has increased the interest of the scientific community and society regarding the possible adverse effects on human health and the environment. This article provides NextGEM's vision to assure safety for EU citizens when employing existing and future EMF-based telecommunication technologies. This is accomplished by generating relevant knowledge that ascertains appropriate prevention and control/actuation actions regarding RF-EMF exposure in residential, public, and occupational settings. Fulfilling this vision, NextGEM commits to the need for a healthy living and working environment under safe RF-EMF exposure conditions that can be trusted by people and be in line with the regulations and laws developed by public authorities. NextGEM provides a framework for generating health-relevant scientific knowledge and data on new scenarios of exposure to RF-EMF in multiple frequency bands and developing and validating tools for evidence-based risk assessment. Finally, NextGEM's Innovation and Knowledge Hub (NIKH) will offer a standardized way for European regulatory authorities and the scientific community to store and assess project outcomes and provide access to findable, accessible, interoperable, and reusable (FAIR) data