IoTility:Architectural Requirements for Enabling Health IoT Ecosystems

The increasing ubiquity of the Internet of Things (IoT) has the potential to drastically alter the way healthcare systems are utilized at home or in a care environment. Smart things offer new ways to assist in general patient wellness, such as promoting an active and healthy lifestyle and simplifying treatment management. We believe smart health things bring new requirements not typically addressed in traditional IoT systems, and that an architecture targeting these devices must address such requirements to fully utilize their potential and safe usage. We believe such an architecture will help improve adoption and efficacy, closing gaps between the variety of emerging health IoT systems. In this paper, we present a number of requirements we consider integral to the continued expansion of the digital health IoT ecosystem (Health IoT). We consider the current landscape of IoT in relation to these requirements and present solutions that address two pressing requirements: 1) democratizing mobile health apps (giving users control and ownership over their app and data), and 2) making mobile apps act and behave like any other thing in an IoT. We present an implementation and evaluation of these Health IoT requirements to show how health-specific solutions can drive and influence the design of more generalized IoT architectures

The Importance of Being Thing:Or the Trivial Role of Powering Serious IoT Scenarios

In this article, we call for a "Walk Before You Run" adjustment in the Internet-of-Things (IoT) research and development exercise. Without first settling the quest for what thing is or could be or do, we run the risk of presumptuous visions, or hypes, that can only fail the realities and limits of what is actually possible, leading to customers and consumers confusion as well as market hesitations. Specifically, without a carefully-designed Thing architecture in place, it will be very difficult to find the “magic” we are so addicted and accustomed to – programming! Programming the IoT, as we once programmed the mainframe, the workstation, the PC and the mobile devices, is the natural way to realize a fancy IoT scenario or an application. Without Thing architectures and their enablement of new programming models for IoT – we will continue to only envision fancy scenarios but unable to unleash the IoT full potential. This article raises these concerns and provides a view into the future by first looking back into our short history of pervasive computing. The article focuses on the domain of “Personal” IoT and will address key new requirements for such Thing architecture. Also, practicing what we preach, we present our ongoing efforts on the Atlas Thing Architecture showing how it supports a variety of thing notions, and how it enables novel models for programmability

The future of Cybersecurity in Italy: Strategic focus area

This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

IoT requirements and architecture for personal health

Personal health devices and wearables have the potential to drastically change the current landscape of wellness and care delivery. As these devices become commonplace, more and more patients are gaining access to new forms of simplified health monitoring and data collection, empowering them to engage in their own health and well-being in unprecedented ways. Cheap and easy-to-use health IoT devices are leading the transformation towards a continuum-of-care health system—focused on detection and prevention—where health issues can be caught before hospital care or professional intervention is needed. However, this vision is set to outpace the expectations and capabilities of today’s connected health devices, challenging existing ecosystems with unique requirements on functionality, connectivity, and usability. This thesis presents a set of health IoT requirements that are especially relevant to the design of a connected device’s low-level software features: its thing architecture. These requirements represent shared concerns in health-related IoT scenarios that can be solved with the features and capabilities of smart things. The thesis presents an architectural design and implementation of concrete features influenced by some of these requirements—leading to the Atlas Health IoT Architecture—which explores the role of safe and meaningful interactions between devices and users, referred to as IoTility. The thesis also considers the IoTility of smartphone applications in health scenarios, called Mobile Apps As Things (MAAT), resulting in a programming enabler that more closely integrates app features with those of physical thing devices. Alongside these implementations, this thesis presents a set of experimental evaluations investigating the feasibility of both MAAT and the architectural requirements as a whole

IoT and Sensor Networks in Industry and Society

The exponential progress of Information and Communication Technology (ICT) is one of the main elements that fueled the acceleration of the globalization pace. Internet of Things (IoT), Artificial Intelligence (AI) and big data analytics are some of the key players of the digital transformation that is affecting every aspect of human's daily life, from environmental monitoring to healthcare systems, from production processes to social interactions. In less than 20 years, people's everyday life has been revolutionized, and concepts such as Smart Home, Smart Grid and Smart City have become familiar also to non-technical users. The integration of embedded systems, ubiquitous Internet access, and Machine-to-Machine (M2M) communications have paved the way for paradigms such as IoT and Cyber Physical Systems (CPS) to be also introduced in high-requirement environments such as those related to industrial processes, under the forms of Industrial Internet of Things (IIoT or I2oT) and Cyber-Physical Production Systems (CPPS). As a consequence, in 2011 the German High-Tech Strategy 2020 Action Plan for Germany first envisioned the concept of Industry 4.0, which is rapidly reshaping traditional industrial processes. The term refers to the promise to be the fourth industrial revolution. Indeed, the first industrial revolution was triggered by water and steam power. Electricity and assembly lines enabled mass production in the second industrial revolution. In the third industrial revolution, the introduction of control automation and Programmable Logic Controllers (PLCs) gave a boost to factory production. As opposed to the previous revolutions, Industry 4.0 takes advantage of Internet access, M2M communications, and deep learning not only to improve production efficiency but also to enable the so-called mass customization, i.e. the mass production of personalized products by means of modularized product design and flexible processes. Less than five years later, in January 2016, the Japanese 5th Science and Technology Basic Plan took a further step by introducing the concept of Super Smart Society or Society 5.0. According to this vision, in the upcoming future, scientific and technological innovation will guide our society into the next social revolution after the hunter-gatherer, agrarian, industrial, and information eras, which respectively represented the previous social revolutions. Society 5.0 is a human-centered society that fosters the simultaneous achievement of economic, environmental and social objectives, to ensure a high quality of life to all citizens. This information-enabled revolution aims to tackle today’s major challenges such as an ageing population, social inequalities, depopulation and constraints related to energy and the environment. Accordingly, the citizens will be experiencing impressive transformations into every aspect of their daily lives. This book offers an insight into the key technologies that are going to shape the future of industry and society. It is subdivided into five parts: the I Part presents a horizontal view of the main enabling technologies, whereas the II-V Parts offer a vertical perspective on four different environments. The I Part, dedicated to IoT and Sensor Network architectures, encompasses three Chapters. In Chapter 1, Peruzzi and Pozzebon analyse the literature on the subject of energy harvesting solutions for IoT monitoring systems and architectures based on Low-Power Wireless Area Networks (LPWAN). The Chapter does not limit the discussion to Long Range Wise Area Network (LoRaWAN), SigFox and Narrowband-IoT (NB-IoT) communication protocols, but it also includes other relevant solutions such as DASH7 and Long Term Evolution MAchine Type Communication (LTE-M). In Chapter 2, Hussein et al. discuss the development of an Internet of Things message protocol that supports multi-topic messaging. The Chapter further presents the implementation of a platform, which integrates the proposed communication protocol, based on Real Time Operating System. In Chapter 3, Li et al. investigate the heterogeneous task scheduling problem for data-intensive scenarios, to reduce the global task execution time, and consequently reducing data centers' energy consumption. The proposed approach aims to maximize the efficiency by comparing the cost between remote task execution and data migration. The II Part is dedicated to Industry 4.0, and includes two Chapters. In Chapter 4, Grecuccio et al. propose a solution to integrate IoT devices by leveraging a blockchain-enabled gateway based on Ethereum, so that they do not need to rely on centralized intermediaries and third-party services. As it is better explained in the paper, where the performance is evaluated in a food-chain traceability application, this solution is particularly beneficial in Industry 4.0 domains. Chapter 5, by De Fazio et al., addresses the issue of safety in workplaces by presenting a smart garment that integrates several low-power sensors to monitor environmental and biophysical parameters. This enables the detection of dangerous situations, so as to prevent or at least reduce the consequences of workers accidents. The III Part is made of two Chapters based on the topic of Smart Buildings. In Chapter 6, Petroșanu et al. review the literature about recent developments in the smart building sector, related to the use of supervised and unsupervised machine learning models of sensory data. The Chapter poses particular attention on enhanced sensing, energy efficiency, and optimal building management. In Chapter 7, Oh examines how much the education of prosumers about their energy consumption habits affects power consumption reduction and encourages energy conservation, sustainable living, and behavioral change, in residential environments. In this Chapter, energy consumption monitoring is made possible thanks to the use of smart plugs. Smart Transport is the subject of the IV Part, including three Chapters. In Chapter 8, Roveri et al. propose an approach that leverages the small world theory to control swarms of vehicles connected through Vehicle-to-Vehicle (V2V) communication protocols. Indeed, considering a queue dominated by short-range car-following dynamics, the Chapter demonstrates that safety and security are increased by the introduction of a few selected random long-range communications. In Chapter 9, Nitti et al. present a real time system to observe and analyze public transport passengers' mobility by tracking them throughout their journey on public transport vehicles. The system is based on the detection of the active Wi-Fi interfaces, through the analysis of Wi-Fi probe requests. In Chapter 10, Miler et al. discuss the development of a tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by Road Transport Enterprises (RTEs). The authors of this Chapter further provide a holistic evaluation of efficiency of telematics systems in RTE operational management. The book ends with the two Chapters of the V Part on Smart Environmental Monitoring. In Chapter 11, He et al. propose a Sea Surface Temperature Prediction (SSTP) model based on time-series similarity measure, multiple pattern learning and parameter optimization. In this strategy, the optimal parameters are determined by means of an improved Particle Swarm Optimization method. In Chapter 12, Tsipis et al. present a low-cost, WSN-based IoT system that seamlessly embeds a three-layered cloud/fog computing architecture, suitable for facilitating smart agricultural applications, especially those related to wildfire monitoring. We wish to thank all the authors that contributed to this book for their efforts. We express our gratitude to all reviewers for the volunteering support and precious feedback during the review process. We hope that this book provides valuable information and spurs meaningful discussion among researchers, engineers, businesspeople, and other experts about the role of new technologies into industry and society

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Security of Ubiquitous Computing Systems

The chapters in this open access book arise out of the EU Cost Action project Cryptacus, the objective of which was to improve and adapt existent cryptanalysis methodologies and tools to the ubiquitous computing framework. The cryptanalysis implemented lies along four axes: cryptographic models, cryptanalysis of building blocks, hardware and software security engineering, and security assessment of real-world systems. The authors are top-class researchers in security and cryptography, and the contributions are of value to researchers and practitioners in these domains. This book is open access under a CC BY license

Navigating Complexity in an Internet of Things Era: A Case Study of Entrepreneurial Leadership in a Silicon Valley IoT Startup

Research into the inner-workings of high-tech startups in the field of leadership within the United States is needed. The accelerating impact of technology on society is clear. The Internet of Things (IoT) is a primary technology of an emergent era, the Fourth Industrial Revolution (Industry 4.0). Silicon Valley startups germinate many of these Industry 4.0 IoT technologies. The current understanding of leadership in IoT startups is often based on media reports. recounting villains and heroes. This is not that. This is a qualitative, normative case study based on the researcher’s insider status at an IoT startup. Insider case study research into leadership of this type is sparse. Based on a review of the literature, multiple one-on-one interviews were conducted with leaders in an IoT startup. An additional 12 interviews were conducted with leaders in the IoT startup field. This study asks: What does it take to lead an IoT startup in Silicon Valley? The data supported the use of Goffman’s (1959b) dramaturgy as an analytical tool for leadership. The leadership at IoT Inc. took on prescribed roles in formal and informal settings. Bourdieu’s (2020) social capital, habitus, and field concepts are also supported for analyzing IoT startups. The individuals at IoT Inc. used social capital, and exhibited habitus based on experiences and expertise while interacting with the IoT field. Chia’s (2013) process-orientation and application of knowledge types like techne, metis, and phronesis is supported. Leaders in the case study exhibited complexity-based leadership when pursuing opportunities in an environment of constrained resources. The data demonstrated that entrepreneurial leaders with accumulated social capital and habitus, who understand the dramaturgical context of an emergent technology field, can use forms of expert pragmatic knowledge to navigate the complexity in pursuit of a vision