The Internet of Medical Things designates the interconnection of communication-enabled medical-grade devices and their integration to wider-scale health networks in order to improve patients’ health. However, because of the critical nature of health-related systems, the Internet of Medical Things still faces numerous challenges, more particularly in terms of reliability, safety and security. In this paper, we present a comprehensive literature review of recent contributions focused on improving the Internet of Medical Things through the use of formal methodologies provided by the cyber-physical systems community. We describe the practical application of the democratization of medical devices for both patients and health-care providers. We also identify unexplored research directions and potential trends to solve uncharted research problems.

The Internet of Things aims at connecting everything, ranging from individuals, organizations, and companies to things in the physical and virtual world. The digital identity has always been considered as the keystone for all online services and the foundation for building security mechanisms such as authentication and authorization. However, the current literature still lacks a comprehensive study on the digital identity management for the Internet of Things (IoT). In this paper, we firstly identify the requirements of building identity management systems for IoT, which comprises scalability, interoperability, mobility, security and privacy. Then, we trace the identity problem back to the origin in philosophy, analyze the Internet digital identity management solutions in the context of IoT and investigate recent surging blockchain sovereign identity solutions. Finally, we point out the promising future research trends in building IoT identity management systems and elaborate challenges of building a complete identity management system for the IoT, including access control, privacy preserving, trust and performance respectively.

International audienceMimicking biological ecosystems, digital ecosystems refer to complex and interdependent systems and their underlying infrastructures by which all constituents interact and exhibit as a whole self-organizing, scalable and sustainable behaviors. This emerging topic is of great interest to scholars. Nevertheless, we observe a divergence of opinions and a disagreement about what Digital Ecosystems are, how they are designed, and what their applications should be. In this paper, we present an overall view of the concept of Digital Ecosystem and provide background for a common understanding. Firstly, we identify four factors that have lead to the emergence of Digital Ecosystems and present their definitions, characteristics and categories. Secondly, we discuss models and simulation tools to show current achievements and limitations. Finally, we illustrate the main challenges and shed light on further work in the field of Digital Ecosystems

Service engineers often struggle to locate the relevant Web services needed to satisfy users' requests. The authors describe how service engineers can capitalize on Web services' interactions - namely, collaboration, substitution, and competition - to build social networks for service discovery. Through these networks, Web services identify those peers with which they'd like to work, those that can replace them in case of failure, and those that compete against them for selection. Building a Web service's social network requires six steps, which the article describes.