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

Analysing the IoT Ecosystem: the Barriers to Commercial Traction

The Internet of Things (IoT) has come to mean all things to all people. Combined with the huge amount of interest and investment into this emerging opportunity, there is a real possibility that the arising confusion will hamper adoption by the mass market. This paper proposes a phased model of the IoT ecosystem development, starting with infrastructure establishment, and culminating in exploitation through the creation of new companies and business models. It does not attempt to quantify the emerging opportunities, relying instead on the many publications dedicated to detailed market analysis. The focus is to place the opportunities in context, demonstrate the importance of sensor system technology underpinning the emerging IoT revolution, and suggests areas where Europe can establish a leadership position. Throughout the paper, examples of the likely protagonists have been used by way of illustration

Internet of Robotic Things Intelligent Connectivity and Platforms

The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and “things” have evolved significantly. “Things” now range from simple Radio Frequency Identification (RFID) devices to smart wireless sensors, intelligent wireless sensors and actuators, robotic things, and autonomous vehicles operating in consumer, business, and industrial environments. The emergence of “intelligent things” (static or mobile) in collaborative autonomous fleets requires new architectures, connectivity paradigms, trustworthiness frameworks, and platforms for the integration of applications across different business and industrial domains. These new applications accelerate the development of autonomous system design paradigms and the proliferation of the Internet of Robotic Things (IoRT). In IoRT, collaborative robotic things can communicate with other things, learn autonomously, interact safely with the environment, humans and other things, and gain qualities like self-maintenance, self-awareness, self-healing, and fail-operational behavior. IoRT applications can make use of the individual, collaborative, and collective intelligence of robotic things, as well as information from the infrastructure and operating context to plan, implement and accomplish tasks under different environmental conditions and uncertainties. The continuous, real-time interaction with the environment makes perception, location, communication, cognition, computation, connectivity, propulsion, and integration of federated IoRT and digital platforms important components of new-generation IoRT applications. This paper reviews the taxonomy of the IoRT, emphasizing the IoRT intelligent connectivity, architectures, interoperability, and trustworthiness framework, and surveys the technologies that enable the application of the IoRT across different domains to perform missions more efficiently, productively, and completely. The aim is to provide a novel perspective on the IoRT that involves communication among robotic things and humans and highlights the convergence of several technologies and interactions between different taxonomies used in the literature.publishedVersio

The IoT Tree of Life

The Internet of Things (IoT) has come to mean all things to all people. Combined with the huge amount of interest and investment into this emerging opportunity, there is a real possibility that the arising confusion will hamper adoption by the mass market. The SILC team have used their extensive Sensor Systems market and technical knowledge in an attempt to clarify the situation for individuals interested in understanding IoT, and the underpinning role of Sensor Systems. This paper proposes a phased model of the IoT ecosystem, starting with infrastructure establishment, and culminating in exploitation through the creation of new companies and business models. It does not attempt to quantify the emerging opportunities, relying instead on the many publications dedicated to detailed market analysis. The focus is to place the opportunities in context, demonstrate the importance of sensor system technology underpinning the emerging IoT revolution, and suggests areas where the UK could establish leadership positions. Throughout the paper, examples of the likely protagonists have been used by way of illustration